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Exam Code: AWS Certified Cloud Practitioner CLF-C02
Exam Name: AWS Certified Cloud Practitioner CLF-C02
Certification Provider: Amazon
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AWS Certified Cloud Practitioner CLF-C02 Practice Test 55

Question 540

The cloud team implements the following change: Use Amazon EC2 with an appropriate supported operating system. Which outcome is the strongest acceptance evidence?

  1. The custom host process runs under a customer-managed guest OS.
  2. A request triggers the function without dedicated always-on application hosts.
  3. No invocation means no active function execution for that workload.
  4. The site runs on a straightforward provisioned Lightsail instance.

Explanation

Correct Answer

A:

EC2 exposes guest OS administration needed for specialized server software. Given that a company needs a dedicated, long-running server process with custom kernel modules, success means the custom host process runs under a customer-managed guest OS.

Incorrect Answers

B:

Lambda executes event-driven code without customers managing execution servers. That result validates use AWS Lambda functions, rather than the stated decision to use Amazon EC2 with an appropriate supported operating system.

C:

Lambda handles event-based invocations and scales without always-on instances. That result validates choose AWS Lambda for event-driven processing within its execution limits, rather than the stated decision to use Amazon EC2 with an appropriate supported operating system.

D:

Lightsail offers simplified instances and pricing suited to straightforward projects. That result validates consider Amazon Lightsail for a packaged VPS experience, rather than the stated decision to use Amazon EC2 with an appropriate supported operating system.

Question 541

The team will implement this choice: Use Amazon EC2 with an appropriate supported operating system. Which statement is the rationale for the decision?

  1. Fargate supplies serverless container compute capacity for ECS or EKS tasks.
  2. EC2 exposes guest OS administration needed for specialized server software.
  3. EKS provides managed Kubernetes control plane functions for AWS workloads.
  4. Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible.

Explanation

Correct Answer

B:

EC2 exposes guest OS administration needed for specialized server software. It avoids the specific failure that AWS Lambda does not expose a persistent custom kernel environment, and the outcome confirms that the custom host process runs under a customer-managed guest OS.

Incorrect Answers

A:

Fargate supplies serverless container compute capacity for ECS or EKS tasks. This is the rationale for use AWS Fargate with a supported container orchestrator in a different situation; the chosen action is use Amazon EC2 with an appropriate supported operating system.

C:

EKS provides managed Kubernetes control plane functions for AWS workloads. This is the rationale for use Amazon Elastic Kubernetes Service in a different situation; the chosen action is use Amazon EC2 with an appropriate supported operating system.

D:

Elastic Beanstalk orchestrates deployment environments while keeping underlying resources visible. This is the rationale for use AWS Elastic Beanstalk for supported application platforms in a different situation; the chosen action is use Amazon EC2 with an appropriate supported operating system.

Question 542

An architect justifies this AWS design: Use Elastic Load Balancing with the appropriate load balancer type. Which explanation is consistent with AWS service responsibilities and behavior?

  1. Independent scaling allows each component to follow its own load profile.
  2. Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies.
  3. Lightsail offers simplified instances and pricing suited to straightforward projects.
  4. Load balancers route incoming requests to healthy registered targets.

Explanation

Correct Answer

D:

Load balancers route incoming requests to healthy registered targets. Given that a web service has several healthy back-end instances and needs traffic distributed across them, success means requests are directed among available healthy service targets.

Incorrect Answers

A:

Independent scaling allows each component to follow its own load profile. This is the rationale for use independent Auto Scaling groups or scalable service components in a different situation; the chosen action is use Elastic Load Balancing with the appropriate load balancer type.

B:

Auto Scaling groups maintain and adjust EC2 instance counts under scaling policies. This is the rationale for use Amazon EC2 Auto Scaling in a different situation; the chosen action is use Elastic Load Balancing with the appropriate load balancer type.

C:

Lightsail offers simplified instances and pricing suited to straightforward projects. This is the rationale for consider Amazon Lightsail for a packaged VPS experience in a different situation; the chosen action is use Elastic Load Balancing with the appropriate load balancer type.

Question 543

A cloud team has received the following request: A company needs complete guest OS control for a legacy application on a virtual server. Which AWS approach is the best match?

  1. Choose Amazon EC2 instances.
  2. Use Amazon Elastic Kubernetes Service.
  3. Consider Amazon Lightsail for a packaged VPS experience.
  4. Use independent Auto Scaling groups or scalable service components.

Explanation

Correct Answer

A:

EC2 provides configurable virtual compute with guest operating-system responsibility. It avoids the specific failure that AWS Lambda does not provide persistent general-purpose guest OS administration, and the outcome confirms that the application runs on an instance whose guest OS the team manages.

Incorrect Answers

B:

EKS provides managed Kubernetes control plane functions for AWS workloads. It would instead yield existing Kubernetes tooling deploys workloads to an EKS cluster; the problem requires the application runs on an instance whose guest OS the team manages.

C:

Lightsail offers simplified instances and pricing suited to straightforward projects. This action handles a student needs a simple bundled virtual private server for a small low-complexity website, but it does not address the observed risk that AWS Lambda does not provide persistent general-purpose guest OS administration.

D:

Independent scaling allows each component to follow its own load profile. That approach would be appropriate when a service needs separate web and worker capacity that responds to different utilization metrics, not for the current constraint: a company needs complete guest OS control for a legacy application on a virtual server.

Question 544

A cloud team has received the following request: An IoT solution stores timestamped sensor measurements and queries time intervals. Which AWS approach is the best match?

  1. Use Amazon Timestream for time-series data.
  2. Evaluate Amazon Aurora in the appropriate compatible engine mode.
  3. Use Amazon RDS for SQL Server.
  4. Use Amazon ElastiCache for an appropriate in-memory cache.

Explanation

Correct Answer

A:

Timestream is purpose-built for time-indexed metrics and sensor events. It avoids the specific failure that a general-purpose document store does not provide purpose-built time-series semantics, and the outcome confirms that measurements are queried by time range and dimensions.

Incorrect Answers

B:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. Its observable effect is the database uses the chosen Aurora compatibility interface and managed distributed storage, while the intended outcome here is measurements are queried by time range and dimensions.

C:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. That approach would be appropriate when an application requires Microsoft SQL Server database compatibility, SQL transactions, and managed backups without managing a database EC2 host, not for the current constraint: an IoT solution stores timestamped sensor measurements and queries time intervals.

D:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. It addresses a different situation: a latency-sensitive application repeatedly reads the same product records from a primary database; the target requires measurements are queried by time range and dimensions.

Question 545

The operations team reports a mismatch between the requirement and actual behavior: Aurora does not provide a SQL Server-compatible database engine. Which action corrects it?

  1. Use Amazon ElastiCache for an appropriate in-memory cache.
  2. Use Amazon Redshift for cloud data warehousing.
  3. Use Amazon RDS for SQL Server.
  4. Use Amazon DynamoDB tables.

Explanation

Correct Answer

C:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. The decision directly serves an application requires Microsoft SQL Server database compatibility, SQL transactions, and managed backups without managing a database EC2 host; it produces the testable result that the application connects using supported SQL Server interfaces on a managed database.

Incorrect Answers

A:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. Its observable effect is cache hits return frequently requested records without querying the source database, while the intended outcome here is the application connects using supported SQL Server interfaces on a managed database.

B:

Redshift is designed for analytic warehouse workloads and columnar data processing. The condition for that alternative is a business intelligence group needs to run large analytical SQL queries across aggregated business data; this question instead needs the application connects using supported SQL Server interfaces on a managed database.

D:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. It addresses a different situation: a mobile application needs very low-latency access to key-value items at large scale without managing database servers; the target requires the application connects using supported SQL Server interfaces on a managed database.

Question 546

An AWS deployment has an avoidable issue: Amazon RDS is a relational engine and does not expose Cassandra's query model. Which corrective decision is most appropriate?

  1. Consider AWS Database Migration Service with suitable endpoints and tasks.
  2. Use Amazon ElastiCache for an appropriate in-memory cache.
  3. Use Amazon Neptune for graph data.
  4. Evaluate Amazon Keyspaces for Cassandra-compatible workloads.

Explanation

Correct Answer

D:

Keyspaces provides managed Cassandra-compatible database APIs. The decision directly serves a team runs Apache Cassandra applications and wants an AWS-managed compatible database service; it produces the testable result that the application uses supported Cassandra-compatible operations.

Incorrect Answers

A:

AWS DMS helps migrate databases and replicate supported changes during transition. It would instead yield the destination catches up with source changes ahead of cutover; the problem requires the application uses supported Cassandra-compatible operations.

B:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. The condition for that alternative is a latency-sensitive application repeatedly reads the same product records from a primary database; this question instead needs the application uses supported Cassandra-compatible operations.

C:

Neptune supports graph models and relationship traversals. This action handles a recommendation engine stores many connected relationships and traverses connections between entities, but it does not address the observed risk that amazon RDS is a relational engine and does not expose Cassandra's query model.

Question 547

The team will implement this choice: Evaluate Amazon Keyspaces for Cassandra-compatible workloads. Which statement is the rationale for the decision?

  1. DynamoDB is a managed NoSQL key-value and document database with scalable request capacity.
  2. Keyspaces provides managed Cassandra-compatible database APIs.
  3. Redshift is designed for analytic warehouse workloads and columnar data processing.
  4. ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads.

Explanation

Correct Answer

B:

Keyspaces provides managed Cassandra-compatible database APIs. The requirement is that a team runs Apache Cassandra applications and wants an AWS-managed compatible database service; the observable success condition is that the application uses supported Cassandra-compatible operations.

Incorrect Answers

A:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. This is the rationale for use Amazon DynamoDB tables in a different situation; the chosen action is evaluate Amazon Keyspaces for Cassandra-compatible workloads.

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. This is the rationale for use Amazon Redshift for cloud data warehousing in a different situation; the chosen action is evaluate Amazon Keyspaces for Cassandra-compatible workloads.

D:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. This is the rationale for use Amazon ElastiCache for an appropriate in-memory cache in a different situation; the chosen action is evaluate Amazon Keyspaces for Cassandra-compatible workloads.

Question 548

A project owner states the following business and technical constraint: A recommendation engine stores many connected relationships and traverses connections between entities. Which response fits?

  1. Evaluate Amazon Keyspaces for Cassandra-compatible workloads.
  2. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  3. Use Amazon Neptune for graph data.
  4. Evaluate Amazon Aurora in the appropriate compatible engine mode.

Explanation

Correct Answer

C:

Neptune supports graph models and relationship traversals. Given that a recommendation engine stores many connected relationships and traverses connections between entities, success means queries efficiently follow connected relationship paths.

Incorrect Answers

A:

Keyspaces provides managed Cassandra-compatible database APIs. That approach would be appropriate when a team runs Apache Cassandra applications and wants an AWS-managed compatible database service, not for the current constraint: a recommendation engine stores many connected relationships and traverses connections between entities.

B:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. It would instead yield the application has an in-memory database with durability-oriented design; the problem requires queries efficiently follow connected relationship paths.

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. Its observable effect is the database uses the chosen Aurora compatibility interface and managed distributed storage, while the intended outcome here is queries efficiently follow connected relationship paths.

Question 549

An architect justifies this AWS design: Use Amazon DynamoDB tables. Which explanation is consistent with AWS service responsibilities and behavior?

  1. Redshift is designed for analytic warehouse workloads and columnar data processing.
  2. MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache.
  3. Timestream is purpose-built for time-indexed metrics and sensor events.
  4. DynamoDB is a managed NoSQL key-value and document database with scalable request capacity.

Explanation

Correct Answer

D:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. The decision directly serves a mobile application needs very low-latency access to key-value items at large scale without managing database servers; it produces the testable result that items are read and written by their key with low-latency access.

Incorrect Answers

A:

Redshift is designed for analytic warehouse workloads and columnar data processing. This is the rationale for use Amazon Redshift for cloud data warehousing in a different situation; the chosen action is use Amazon DynamoDB tables.

B:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. This is the rationale for evaluate Amazon MemoryDB for Redis-compatible durability needs in a different situation; the chosen action is use Amazon DynamoDB tables.

C:

Timestream is purpose-built for time-indexed metrics and sensor events. This is the rationale for use Amazon Timestream for time-series data in a different situation; the chosen action is use Amazon DynamoDB tables.

Question 550

A migration or service change has been completed: Consider Amazon DocumentDB with MongoDB compatibility constraints checked. Which result demonstrates its intended effect?

  1. The application uses supported Cassandra-compatible operations.
  2. The app uses document queries through its supported API.
  3. The primary can fail over to the standby after a relevant outage.
  4. The database uses the chosen Aurora compatibility interface and managed distributed storage.

Explanation

Correct Answer

B:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. The decision directly serves an application needs a managed document-oriented database compatible with a supported MongoDB workload; it produces the testable result that the app uses document queries through its supported API.

Incorrect Answers

A:

Keyspaces provides managed Cassandra-compatible database APIs. That result validates evaluate Amazon Keyspaces for Cassandra-compatible workloads, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

C:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. That result validates enable RDS Multi-AZ deployment where supported, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. That result validates evaluate Amazon Aurora in the appropriate compatible engine mode, rather than the stated decision to consider Amazon DocumentDB with MongoDB compatibility constraints checked.

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