Visit here for our full Amazon AWS Certified AI Practitioner AIF-C01 exam dumps and practice test questions.
Question 41:
Which AWS service can be used to automate and schedule tasks such as backups, updates, and batch jobs in your AWS environment?
A) AWS Batch
B) Amazon EC2 Systems Manager
C) AWS Lambda
D) Amazon CloudWatch Events
Answer: B)
Explanation:
Amazon EC2 Systems Manager is a service provided by AWS that helps you automate and manage tasks such as patching, configuration management, and automated backups across a large number of EC2 instances and on-premises servers. It includes features like Run Command, State Manager, and Automation that enable you to automate common administrative tasks, which makes it easier to manage your AWS environment at scale.
For example, you can use Systems Manager to schedule tasks like running scripts to install updates on EC2 instances, automate backup processes, or perform routine maintenance on infrastructure. Systems Manager is tightly integrated with other AWS services like Amazon CloudWatch, AWS Identity and Access Management (IAM), and Amazon S3, making it a comprehensive solution for maintaining infrastructure.
While AWS Batch is useful for running large-scale batch processing jobs, it is not intended for general-purpose automation or task scheduling. AWS Lambda is a serverless compute service for running code in response to events, but it is not specifically designed for scheduling and managing operational tasks across multiple instances. Amazon CloudWatch Events can be used to trigger tasks based on specific events but lacks the extensive management features provided by EC2 Systems Manager.
Question 42:
Which AWS service is used to run virtual servers in the cloud, providing scalable compute capacity?
A) Amazon EC2
B) Amazon S3
C) AWS Lambda
D) Amazon RDS
Answer: A)
Explanation:
Amazon EC2 (Elastic Compute Cloud) is a web service that provides scalable compute capacity in the cloud. EC2 allows users to rent virtual servers, known as instances, that can run various operating systems and applications. It is one of the most fundamental and widely used AWS services, providing the compute power needed for virtually any application or workload.
EC2 instances come in a variety of types, each optimized for different use cases, such as compute-intensive, memory-intensive, storage-intensive, and GPU-based workloads. Users can scale EC2 instances up or down as needed, providing flexibility to meet the demands of different applications and workloads.
EC2 instances are highly customizable, and users can choose the operating system, instance type, storage options, and network configuration. Additionally, EC2 instances can be easily integrated with other AWS services such as Amazon S3 for storage, Amazon RDS for database management, and Amazon VPC for network isolation.
While Amazon S3 provides scalable object storage for data, it does not offer compute resources like EC2. AWS Lambda is a serverless compute service, but it is designed for executing small pieces of code in response to events, rather than running full virtual servers. Amazon RDS is a managed relational database service, but it does not provide the compute capacity for running virtual servers.
Question 43:
Which AWS service helps you to manage and store secrets such as database credentials, API keys, and other sensitive information?
A) Amazon KMS
B) AWS Secrets Manager
C) AWS IAM
D) Amazon Cognito
Answer: B)
Explanation:
AWS Secrets Manager is a fully managed service designed to securely store and manage sensitive information such as database credentials, API keys, and other secrets used by applications, services, and infrastructure. Secrets Manager provides a central repository to securely store, retrieve, and rotate secrets, making it easier to manage credentials and other sensitive data across your AWS environment.
One of the key benefits of Secrets Manager is that it automatically rotates secrets at specified intervals, ensuring that they are kept up to date and reducing the risk of security vulnerabilities due to outdated or compromised secrets. It also integrates with other AWS services, such as AWS Lambda and Amazon RDS, to securely pass secrets to your applications without hardcoding them in the source code or configuration files.
AWS Key Management Service (KMS) is another service for managing encryption keys but is not specifically designed for managing application secrets like Secrets Manager. AWS IAM (Identity and Access Management) is used for managing access control and permissions to AWS resources, but it does not store secrets. Amazon Cognito is a service for user authentication and identity management, but it is not used for managing secrets.
Question 44:
Which AWS service is used for creating and managing relational databases in the cloud?
A) Amazon RDS
B) Amazon DynamoDB
C) Amazon ElastiCache
D) AWS Redshift
Answer: A)
Explanation:
Amazon RDS (Relational Database Service) is a fully managed service that allows you to create, operate, and scale relational databases in the cloud. RDS supports several popular relational database engines, including MySQL, PostgreSQL, MariaDB, Oracle, and SQL Server. RDS automates time-consuming tasks such as database patching, backup, and scaling, allowing users to focus on building applications without having to manage the underlying database infrastructure.
RDS is highly available and scalable. You can use features like Multi-AZ deployments for high availability and read replicas for scalability. It also integrates with other AWS services such as Amazon S3 for backups and Amazon CloudWatch for monitoring.
Amazon DynamoDB is a fully managed NoSQL database service, designed for applications that require high performance and low-latency access to large amounts of unstructured data. Amazon ElastiCache is a caching service that improves the performance of database-driven applications, but it is not a relational database. AWS Redshift is a managed data warehouse service designed for analyzing large datasets, but it is not used for operational relational databases.
Question 45:
Which AWS service is used for managing DNS records and routing traffic for domains in a scalable and highly available way?
A) Amazon Route 53
B) Amazon CloudFront
C) AWS Direct Connect
D) AWS Global Accelerator
Answer: A)
Explanation:
Amazon Route 53 is a scalable and highly available Domain Name System (DNS) web service that helps you manage DNS records and route traffic to resources such as EC2 instances, load balancers, or S3 buckets. It provides domain registration, DNS routing, and health checking capabilities, making it a powerful and versatile tool for managing how user traffic is directed to your applications.
Route 53 supports several routing policies, such as simple routing, weighted routing, and latency-based routing, which allow you to optimize how traffic is distributed across multiple resources. For example, you can use latency-based routing to direct traffic to the region with the lowest latency for the user, or use weighted routing to split traffic between multiple endpoints in a customizable manner.
Route 53 is also integrated with AWS services like EC2, S3, and Elastic Load Balancing, and it can be used to manage DNS for both internal and external applications. Additionally, Route 53 allows you to monitor the health of resources and route traffic away from unhealthy resources based on health checks.
While Amazon CloudFront is a Content Delivery Network (CDN) that caches content closer to users for faster delivery, it does not provide DNS management. AWS Direct Connect is a service for establishing a dedicated network connection to AWS but is not related to DNS management. AWS Global Accelerator is a service that optimizes the performance of global applications by routing traffic to the best endpoint based on health and performance, but it does not manage DNS records.
Question 46:
Which AWS service provides a fully managed NoSQL database that offers fast and predictable performance with seamless scalability?
A) Amazon DynamoDB
B) Amazon RDS
C) Amazon ElastiCache
D) AWS Redshift
Answer: A)
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. It is designed for applications that require low-latency access to large amounts of data and offers automatic scaling to accommodate changing workloads. DynamoDB is ideal for use cases such as mobile apps, gaming, IoT, and real-time analytics.
DynamoDB offers features such as automatic scaling, on-demand backups, point-in-time recovery, and encryption at rest. It supports both key-value and document data models, providing flexibility in how data is stored and accessed. Additionally, DynamoDB integrates with other AWS services such as AWS Lambda, Amazon CloudWatch, and Amazon Kinesis for building scalable and highly available applications.
Amazon RDS, in contrast, is a managed relational database service that supports multiple database engines like MySQL, PostgreSQL, and Oracle, but it is not designed for NoSQL workloads. Amazon ElastiCache is a caching service designed to improve application performance by caching frequently accessed data, while AWS Redshift is a managed data warehouse service for large-scale data analysis, not for operational NoSQL databases.
Question 47:
Which AWS service allows you to run code in response to events without provisioning or managing servers?
A) AWS Lambda
B) Amazon EC2
C) Amazon S3
D) AWS Elastic Beanstalk
Answer: A)
Explanation:
AWS Lambda is a serverless compute service that allows you to run code in response to events without provisioning or managing servers. With Lambda, you simply upload your code, configure the triggers (events) that invoke the function, and Lambda automatically takes care of the infrastructure required to run it. This enables you to focus purely on the code and logic of your application.
Lambda supports a wide range of event sources, including Amazon S3, Amazon DynamoDB, Amazon SNS, and API Gateway. It automatically scales based on the number of events and only charges for the compute time consumed, making it cost-effective for workloads that require event-driven processing.
In contrast, Amazon EC2 requires you to manage virtual servers for running applications, and Amazon S3 is an object storage service, not a compute service. AWS Elastic Beanstalk is a platform-as-a-service (PaaS) that automates the deployment of applications but still requires managing servers, albeit in a simplified way compared to EC2.
Question 48:
Which AWS service provides a highly scalable and managed data warehouse solution for analyzing large datasets?
A) AWS Glue
B) AWS Redshift
C) Amazon S3
D) Amazon Aurora
Answer: B)
Explanation:
AWS Redshift is a fully managed data warehouse service that allows you to run complex queries and analyses on large datasets. It is designed to handle petabyte-scale data warehousing and is optimized for high-performance querying and reporting. Redshift uses a columnar storage format, which provides significant performance improvements when analyzing large datasets.
Redshift integrates well with other AWS services, such as AWS Glue for ETL (extract, transform, load) processes, and Amazon S3 for data storage. It also supports SQL-based querying and is compatible with many third-party business intelligence (BI) tools, making it ideal for running analytics on structured data.
AWS Glue is an ETL service that helps you prepare data for analytics, but it is not a data warehouse solution. Amazon S3 is an object storage service, not specifically designed for large-scale data warehousing. Amazon Aurora is a relational database service that provides high performance but is not a specialized data warehouse like Redshift.
Question 49:
Which AWS service can be used to protect your applications from DDoS attacks and safeguard your resources from traffic spikes?
A) AWS WAF
B) AWS Shield
C) AWS GuardDuty
D) AWS Firewall Manager
Answer: B)
Explanation:
AWS Shield is a managed Distributed Denial-of-Service (DDoS) protection service that helps protect AWS resources, such as Amazon EC2 instances, Elastic Load Balancers, and Amazon CloudFront distributions, from DDoS attacks. AWS Shield provides two levels of protection: Shield Standard and Shield Advanced.
Shield Standard offers protection against most common types of DDoS attacks, while Shield Advanced provides additional features such as 24/7 access to the AWS DDoS Response Team (DRT), advanced threat intelligence, and cost protection to mitigate extra charges incurred during an attack. AWS Shield helps ensure that your applications remain available and responsive during traffic spikes, even when under attack.
AWS WAF (Web Application Firewall) can be used to filter incoming HTTP and HTTPS requests to protect against application-layer attacks, but it is not specifically designed for DDoS protection. AWS GuardDuty is a threat detection service that continuously monitors for malicious activity but does not directly protect against DDoS attacks. AWS Firewall Manager is a security management service that helps you manage firewall rules across AWS accounts but is not focused on DDoS protection.
Question 50:
Which AWS service helps you to monitor and collect log data from AWS resources and applications in real-time?
A) Amazon CloudWatch
B) AWS X-Ray
C) Amazon VPC Flow Logs
D) AWS Config
Answer: A)
Explanation:
Amazon CloudWatch is a monitoring and observability service that provides real-time visibility into resource utilization, application performance, and operational health. It helps you collect and track metrics, monitor log data, and set alarms to take automated actions based on pre-defined thresholds. CloudWatch integrates with most AWS services and provides insights into the performance and health of both AWS and on-premises resources.
CloudWatch Logs specifically allows you to collect and monitor log data generated by AWS resources, applications, and custom sources. You can store, search, and analyze log data from various sources, and set up alarms to notify you about important events.
AWS X-Ray is a service that helps you analyze and debug distributed applications, providing insights into performance bottlenecks, but it is not designed for general log monitoring. Amazon VPC Flow Logs capture information about network traffic, but they are specific to VPC traffic and not for general log monitoring. AWS Config is a service for monitoring and auditing resource configurations, but it does not focus on real-time log monitoring.
Question 51:
Which AWS service is used to host a highly scalable and available DNS service that can route user requests to resources based on latency or geography?
A) Amazon Route 53
B) Amazon CloudFront
C) AWS Global Accelerator
D) Amazon API Gateway
Answer: A)
Explanation:
Amazon Route 53 is a scalable and highly available Domain Name System (DNS) web service that is designed to route end-user requests to appropriate resources based on various criteria. It supports multiple routing policies such as simple routing, weighted routing, latency-based routing, and geolocation routing, enabling businesses to configure the DNS to meet specific traffic management needs. By providing highly reliable and low-latency DNS routing, Route 53 ensures that users can access applications and services quickly, regardless of their location.
One of the key features of Route 53 is its ability to handle large-scale DNS queries with low latency, making it ideal for businesses operating in diverse geographic regions or those serving a large customer base. It is designed to support high availability and fault tolerance, ensuring that DNS queries are reliably resolved even in the event of infrastructure failures. With its global network of DNS servers, Route 53 can provide reliable performance no matter where users are located, offering seamless access to web applications, services, and content.
Route 53 is fully integrated with other AWS services, allowing users to manage DNS records for AWS resources easily. This integration streamlines the management of domain names for various AWS services, such as Amazon EC2, S3, Elastic Load Balancing (ELB), and Amazon CloudFront, among others. As a result, businesses can avoid the complexity of managing DNS records across multiple providers or platforms and instead consolidate their domain management within the AWS ecosystem.
Route 53 supports multiple routing policies to ensure that user requests are routed in the most efficient and optimized way. Simple routing allows you to configure DNS records to return a single resource, which is useful for straightforward applications where there are no complex requirements. Weighted routing enables you to distribute traffic across multiple resources based on predefined weights, which can be useful for load balancing or A/B testing scenarios. With weighted routing, businesses can gradually shift traffic between different versions of an application or service to assess performance before full deployment.
Latency-based routing is another powerful feature of Route 53. With latency-based routing, Route 53 directs traffic to the AWS region that provides the lowest latency to the end user, improving application performance. This is especially valuable for global applications where users are located in different regions and experience varying levels of network latency. By routing traffic to the region with the fastest response time, latency-based routing ensures that end users experience minimal delays and high-performance access to the application. This capability is critical for time-sensitive applications, such as gaming platforms, video streaming services, and real-time communication systems, where even small delays can impact user experience.
Another important routing policy offered by Route 53 is geolocation routing. Geolocation routing allows you to route traffic based on the geographic location of users, which is useful for compliance, legal requirements, or serving different content based on regional needs. For example, a business may need to serve different versions of a website or application to users in different countries, whether due to language preferences, regional content laws, or tax regulations. Geolocation routing allows businesses to easily target specific regions or countries, ensuring that users get the content that is relevant to their location. This capability can also help reduce latency by directing users to the nearest AWS region.
Question 52:
Which AWS service helps you to set up, monitor, and scale an application using containers?
A) AWS Elastic Beanstalk
B) Amazon ECS
C) AWS Fargate
D) AWS Lambda
Answer: B)
Explanation:
Amazon ECS (Elastic Container Service) is a fully managed service that makes it easy to run, scale, and secure Docker containerized applications on AWS. ECS allows you to define and manage containers that make up your application and run them on a cluster of EC2 instances or on AWS Fargate, which is a serverless compute engine for containers. ECS simplifies container orchestration and provides integration with other AWS services such as IAM, CloudWatch, and Elastic Load Balancing, enabling users to build scalable, resilient, and cost-effective containerized applications without the need to manage the underlying infrastructure.
ECS supports both Docker and Windows containers, giving you the flexibility to choose the container runtime that best suits your application’s needs. Containers are an efficient way to package software, as they allow you to isolate dependencies and ensure that applications run consistently across different environments. With ECS, you can define your containerized application using task definitions, which specify the Docker image to be used, the resources required (like CPU and memory), networking configurations, and environment variables.
One of the key advantages of ECS is its deep integration with the AWS ecosystem, which makes it easier to manage and monitor your containerized workloads. For example, ECS integrates with AWS IAM (Identity and Access Management) to provide fine-grained access control to resources. You can use IAM roles and policies to specify who or what can interact with your ECS services, containers, and clusters. This level of integration ensures that security is a top priority, allowing for secure authentication and authorization at both the individual container and service levels.
Another significant integration is with AWS CloudWatch, which provides monitoring, logging, and alarms for ECS containers. CloudWatch enables you to track metrics such as CPU usage, memory utilization, and network traffic, giving you the visibility you need to troubleshoot issues, monitor performance, and set up automated actions like scaling. By integrating with CloudWatch, ECS ensures that you can have real-time insights into the health and performance of your containerized applications.
Elastic Load Balancing (ELB) works seamlessly with ECS to distribute incoming application traffic across multiple container instances, improving availability and fault tolerance. By using ELB with ECS, you can ensure that traffic is directed to healthy containers and that your application can scale up or down based on demand. This integration helps ensure that your application remains highly available, even as traffic patterns change or when some container instances go down. Elastic Load Balancing also supports automatic scaling, so you can dynamically adjust the number of containers running in response to traffic fluctuations, optimizing both performance and cost.
ECS is highly scalable and supports a wide range of container-based workloads, from microservices to batch processing and machine learning applications. With ECS, you can run thousands of containers in a highly efficient and cost-effective manner. ECS automatically manages the placement of containers on available EC2 instances based on your defined capacity requirements, ensuring that your containers are distributed across the cluster for optimal performance. This scalability allows you to handle the varying needs of your applications, whether they require high performance for complex workloads or lower resource consumption for less demanding tasks.
For organizations looking to deploy containerized applications in a serverless fashion, ECS also integrates with AWS Fargate. Fargate is a serverless compute engine for containers that eliminates the need to provision and manage EC2 instances. With Fargate, you simply define your containerized application, and AWS automatically handles the underlying compute infrastructure. This removes the complexity of managing servers and allows you to focus on building your application rather than on provisioning and maintaining infrastructure.
ECS and Fargate together provide a fully managed, flexible, and scalable solution for running containerized applications without having to worry about the infrastructure management aspects. This serverless approach is particularly useful for organizations that want to reduce operational overhead while maintaining full control over their containerized workloads. Fargate scales your containers automatically based on demand, so you don’t need to manually adjust the number of EC2 instances in the cluster. This makes it a great choice for workloads with unpredictable or variable demand.
ECS also integrates with Amazon ECR (Elastic Container Registry), which is a fully managed Docker container registry. ECR makes it easy to store, manage, and deploy Docker container images. By integrating ECS with ECR, you can seamlessly store and retrieve Docker images within the AWS ecosystem, ensuring that your images are secure, version-controlled, and easy to deploy across your containerized environments. ECR integrates with IAM to ensure that only authorized users and services can push or pull images, adding an extra layer of security to your containerized workflows.
Question 53:
Which AWS service helps you to automatically back up and restore data stored in Amazon EFS (Elastic File System)?
A) Amazon S3
B) AWS Backup
C) Amazon Glacier
D) Amazon RDS
Answer: B)
Explanation:
AWS Backup is a fully managed backup service that allows you to centralize and automate backup processes for AWS resources, including Amazon EFS (Elastic File System). It provides a streamlined solution to protect your data by enabling automated, policy-driven backups, reducing the complexity of manual backup management. AWS Backup integrates with a variety of AWS services, offering a comprehensive backup strategy across your entire cloud infrastructure. It simplifies the backup process for both AWS and hybrid environments, making it easier for organizations to maintain a consistent and reliable backup strategy for critical data.
One of the primary benefits of AWS Backup is the ability to create custom backup plans. These plans allow you to define a backup schedule that meets the specific needs of your organization, ensuring that data is automatically backed up at regular intervals. The service also supports backup frequency and retention periods, so you can tailor how often backups occur and how long they are retained. With these features, AWS Backup helps you maintain control over your data protection strategy while adhering to compliance regulations or internal data management policies.
A key feature of AWS Backup is its centralized management interface, which makes it easy to manage backups across different AWS services. Through the AWS Backup console, you can view and monitor backups from multiple AWS resources, such as Amazon EFS, Amazon RDS (Relational Database Service), Amazon DynamoDB, Amazon EC2, and more. This unified approach simplifies the backup process, ensuring that backup jobs are tracked, managed, and completed successfully. It also provides visibility into the status and health of backup jobs, helping to identify and resolve any issues that might arise.
For Amazon EFS specifically, AWS Backup allows users to automate the backup of file systems, which are critical for applications that require shared storage. By using AWS Backup with Amazon EFS, businesses can ensure that their file systems are backed up regularly and securely, without the need for manual intervention. The service also supports the ability to restore file systems to specific points in time, which can be particularly useful in the event of data corruption, accidental deletion, or system failures.
In addition to backup schedules and automation, AWS Backup provides several important features to ensure that your backups are secure and efficiently stored. Backup encryption is one such feature, which ensures that your backups are encrypted both in transit and at rest. With AWS Backup, all backup data is encrypted using AWS KMS (Key Management Service), helping organizations meet security and compliance standards. Encryption helps protect sensitive data and ensures that it is secure from unauthorized access.
Another critical feature of AWS Backup is its support for backup lifecycle management. This feature enables organizations to manage the entire lifecycle of their backups, from creation to retention and deletion. You can configure retention policies that determine how long backups should be kept, and AWS Backup will automatically delete expired backups to help you optimize storage costs. Lifecycle management also allows you to move older backups to more cost-effective storage classes, such as Amazon S3 Glacier, which is designed for long-term archival storage at a lower cost. By using lifecycle management, you can ensure that your backups are stored securely and that they are managed in a way that optimizes cost without compromising on protection.
For compliance and audit purposes, AWS Backup offers robust reporting and logging capabilities. The service integrates with AWS CloudTrail, which provides detailed logs of all backup activities. This allows you to track backup operations, monitor access to backup resources, and ensure that backup processes are being followed according to organizational and regulatory requirements. The audit logs generated by AWS Backup can be used for compliance reporting, helping organizations meet legal and industry-specific requirements.
In addition to the features mentioned above, AWS Backup supports integration with AWS Organizations, allowing users to manage backups across multiple AWS accounts in a centralized manner. This is particularly useful for large enterprises or organizations with a multi-account structure. With AWS Backup, you can create and apply backup plans across different AWS accounts, ensuring consistent backup policies and practices across the entire organization. This level of flexibility and scalability makes it easier for businesses to manage backups as they grow or expand their cloud infrastructure.
While AWS Backup is designed to automate and centralize backup operations for various AWS services, it also offers flexibility for hybrid environments. Organizations that use both on-premises and cloud resources can integrate AWS Backup with their on-premises data backup solutions. By extending backup capabilities to on-premises environments, businesses can create a unified backup strategy that spans their entire IT infrastructure, whether data resides in the cloud or on local servers. This hybrid approach helps ensure that all critical data is backed up and can be easily restored, regardless of where it is stored.
Question 54:
Which AWS service is used to set up, monitor, and troubleshoot AWS Lambda functions?
A) AWS CloudFormation
B) Amazon CloudWatch
C) AWS X-Ray
D) AWS CloudTrail
Answer: C)
Explanation:
AWS X-Ray is a service that helps developers analyze and troubleshoot production applications, including those running on AWS Lambda. X-Ray provides insights into the performance of Lambda functions, traces requests as they travel through various AWS services, and helps you identify bottlenecks and errors in your application.
X-Ray can trace the execution path of requests across multiple AWS services and provides detailed information such as function execution time, latency, and error rates. It integrates with Lambda and other AWS services like API Gateway, DynamoDB, and S3, helping you identify performance issues and optimize your serverless application.
Amazon CloudWatch is primarily used for monitoring AWS resources and applications, including Lambda, but X-Ray provides more detailed tracing and diagnostics. AWS CloudFormation is used for provisioning AWS resources using infrastructure as code, and AWS CloudTrail records API calls made in your AWS account but is not specifically designed for Lambda function troubleshooting.
Question 55:
Which AWS service helps you automate the deployment of applications by managing the infrastructure, scaling, and load balancing?
A) Amazon EC2
B) AWS Elastic Beanstalk
C) AWS CloudFormation
D) Amazon Lightsail
Answer: B)
Explanation:
AWS Elastic Beanstalk is a fully managed service that automates the deployment, scaling, and management of applications. It abstracts much of the complexity involved in managing infrastructure, such as provisioning EC2 instances, load balancing, and scaling. Elastic Beanstalk supports several application platforms, including Java, .NET, Node.js, Python, and more.
Elastic Beanstalk allows developers to focus on writing code while the service automatically handles the underlying infrastructure management tasks. It integrates with other AWS services like Amazon RDS for database management and Amazon S3 for storage, enabling developers to deploy their applications with minimal effort.
While Amazon EC2 provides scalable compute instances, it requires more manual management of the infrastructure and application deployment. AWS CloudFormation is used to automate infrastructure provisioning but is not specifically designed for application deployment. Amazon Lightsail is a simpler cloud service for small projects but does not offer the same level of automation and scalability as Elastic Beanstalk.
Question 56:
Which AWS service can be used to protect web applications from common security threats such as SQL injection and cross-site scripting (XSS)?
A) AWS WAF
B) AWS Shield
C) AWS IAM
D) AWS Firewall Manager
Answer: A)
Explanation:
AWS WAF (Web Application Firewall) is a service designed to protect web applications from common security threats such as SQL injection, cross-site scripting (XSS), and other vulnerabilities that could compromise the security of your applications. AWS WAF helps safeguard web applications by filtering HTTP/HTTPS requests based on customizable rules that specify conditions like IP addresses, request headers, query strings, and body data.
WAF integrates with Amazon CloudFront, the AWS global content delivery network (CDN), and AWS Application Load Balancer, allowing you to protect applications from attacks and control web traffic at scale. You can create custom rules or use AWS Managed Rules for common attack patterns. AWS WAF is highly flexible and provides the ability to block, allow, or count requests that match specific patterns, making it an essential tool for securing web applications.
AWS Shield is a DDoS protection service that protects against network and transport layer attacks but does not focus on web application threats. AWS IAM (Identity and Access Management) is used for managing permissions and access control to AWS resources, but it does not address web application vulnerabilities. AWS Firewall Manager is a service that helps manage firewall rules across multiple accounts but is not focused on web application-specific threats like SQL injection or XSS.
Question 57:
Which AWS service is used for managing and automating the configuration of AWS resources across multiple accounts and regions?
A) AWS Config
B) AWS CloudFormation
C) AWS Organizations
D) AWS Systems Manager
Answer: A)
Explanation:
AWS Config is a fully managed service that helps you assess, audit, and evaluate the configurations of your AWS resources. It provides a detailed inventory of AWS resources and tracks their configuration history, enabling you to monitor changes, ensure compliance, and automate the remediation of misconfigurations. AWS Config can be used to manage configurations across multiple AWS accounts and regions, offering a centralized view of the state of your resources.
Config allows you to create AWS Config rules, which are custom or AWS-managed rules that automatically evaluate resource configurations. For example, you can use AWS Config to ensure that specific EC2 instances are tagged appropriately, or that S3 buckets have the correct access permissions. AWS Config integrates with AWS CloudTrail, Amazon CloudWatch, and other services for enhanced monitoring and automation.
AWS CloudFormation is an infrastructure-as-code service used to provision and manage AWS resources, but it does not focus on configuration auditing and compliance. AWS Organizations allows you to manage multiple AWS accounts, but it does not provide the same level of resource configuration management as AWS Config. AWS Systems Manager offers automation for operational tasks but does not focus specifically on configuration compliance across resources.
Question 58:
Which AWS service is used to automatically scale the compute capacity based on demand, allowing users to add or remove EC2 instances in response to traffic fluctuations?
A) AWS Auto Scaling
B) AWS Lambda
C) Amazon EC2 Spot Instances
D) Amazon Elastic Load Balancer
Answer: A)
Explanation:
AWS Auto Scaling is a service that automatically adjusts the number of EC2 instances running in your environment to match the demand for your application. By creating scaling policies based on metrics such as CPU utilization or network traffic, Auto Scaling ensures that your application can scale up during periods of high demand and scale down when demand is low, optimizing costs and resource utilization.
Auto Scaling integrates with Amazon EC2, Elastic Load Balancing (ELB), and Amazon CloudWatch to monitor and adjust resources. It ensures that your application always has the right amount of compute capacity based on current traffic conditions. Auto Scaling can also be used to manage other resources, such as EC2 Spot Instances and Amazon RDS instances, to provide cost-effective scaling solutions.
AWS Lambda, while used for serverless compute tasks, does not manage EC2 instances and is not designed for automatically scaling compute capacity in response to traffic. EC2 Spot Instances allow users to bid for unused EC2 capacity but do not offer automatic scaling capabilities on their own. Amazon Elastic Load Balancer (ELB) distributes traffic across multiple EC2 instances but does not handle scaling decisions.
Question 59:
Which AWS service is designed to help developers build, test, and deploy machine learning models at scale?
A) Amazon SageMaker
B) AWS Deep Learning AMIs
C) Amazon Polly
D) AWS Lambda
Answer: A)
Explanation:
Amazon SageMaker is a fully managed service that provides every tool and feature needed to build, train, and deploy machine learning (ML) models at scale. It helps data scientists and developers by automating much of the complex and resource-intensive tasks associated with machine learning, such as model building, training, and optimization. SageMaker offers built-in algorithms and pre-built notebooks, as well as a fully managed training environment that can scale based on the size of your dataset.
SageMaker also includes SageMaker Studio, a web-based IDE for building and training ML models, and SageMaker Autopilot, which automates the entire process of model building and hyperparameter tuning. Furthermore, SageMaker integrates with other AWS services like Amazon S3 for data storage, AWS Lambda for serverless inference, and AWS Glue for data preparation.
AWS Deep Learning AMIs are specialized Amazon Machine Images (AMIs) that provide pre-installed deep learning frameworks for ML development but are not as fully managed as SageMaker. Amazon Polly is a service for converting text into speech, not for building ML models. AWS Lambda is used for event-driven computing and serverless code execution but is not specifically designed for ML model development.
Question 60:
Which AWS service provides managed, scalable, and highly available relational database hosting with automatic backups, patch management, and failover?
A) Amazon RDS
B) Amazon Aurora
C) Amazon DynamoDB
D) Amazon Redshift
Answer: A)
Explanation:
Amazon RDS (Relational Database Service) is a fully managed service for setting up, operating, and scaling relational databases in the cloud. It supports popular database engines such as MySQL, PostgreSQL, MariaDB, Oracle, and Microsoft SQL Server. RDS automates many administrative tasks, including backups, patch management, and database failover, making it easier to manage database workloads without having to worry about manual intervention.
RDS automatically handles database backups and can retain backups for up to 35 days, and it offers Multi-AZ (Availability Zone) deployments for high availability and failover support. RDS is designed to scale vertically and horizontally, allowing users to add more resources or replicate data to improve performance and availability.
Amazon Aurora is a high-performance, MySQL- and PostgreSQL-compatible database engine that is a part of RDS but provides improved performance and availability. While Amazon Aurora offers many of the same features as RDS, it is a distinct service optimized for high-performance applications. Amazon DynamoDB is a NoSQL database service and does not support relational databases. Amazon Redshift is a managed data warehouse service designed for analytics rather than transactional relational database workloads.
