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Exam Code: AWS Certified Cloud Practitioner CLF-C02
Exam Name: AWS Certified Cloud Practitioner CLF-C02
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AWS Certified Cloud Practitioner CLF-C02 Practice Test 58

Question 570

The cloud team implements the following change: Evaluate Amazon Keyspaces for Cassandra-compatible workloads. Which outcome is the strongest acceptance evidence?

  1. The app uses document queries through its supported API.
  2. The application uses supported Cassandra-compatible operations.
  3. Cache hits return frequently requested records without querying the source database.
  4. The destination catches up with source changes ahead of cutover.

Explanation

Correct Answer

B:

Keyspaces provides managed Cassandra-compatible database APIs. Given that a team runs Apache Cassandra applications and wants an AWS-managed compatible database service, success means the application uses supported Cassandra-compatible operations.

Incorrect Answers

A:

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

C:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. That result validates use Amazon ElastiCache for an appropriate in-memory cache, rather than the stated decision to evaluate Amazon Keyspaces for Cassandra-compatible workloads.

D:

AWS DMS helps migrate databases and replicate supported changes during transition. That result validates consider AWS Database Migration Service with suitable endpoints and tasks, rather than the stated decision to evaluate Amazon Keyspaces for Cassandra-compatible workloads.

Question 571

The cloud team has decided on this approach: Evaluate Amazon MemoryDB for Redis-compatible durability needs. Which statement explains why it satisfies the scenario?

  1. AWS DMS helps migrate databases and replicate supported changes during transition.
  2. Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby.
  3. DocumentDB is a managed document database supporting MongoDB-compatible interfaces.
  4. MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache.

Explanation

Correct Answer

D:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. Given that a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns, success means the application has an in-memory database with durability-oriented design.

Incorrect Answers

A:

AWS DMS helps migrate databases and replicate supported changes during transition. This is the rationale for consider AWS Database Migration Service with suitable endpoints and tasks in a different situation; the chosen action is evaluate Amazon MemoryDB for Redis-compatible durability needs.

B:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. This is the rationale for create suitable RDS read replicas for read scaling in a different situation; the chosen action is evaluate Amazon MemoryDB for Redis-compatible durability needs.

C:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. This is the rationale for consider Amazon DocumentDB with MongoDB compatibility constraints checked in a different situation; the chosen action is evaluate Amazon MemoryDB for Redis-compatible durability needs.

Question 572

Consider an AWS workload with this need: A growing relational application specifically wants Aurora's AWS-designed distributed storage and MySQL or PostgreSQL compatibility. What action is most appropriate?

  1. Create suitable RDS read replicas for read scaling.
  2. Use Amazon DynamoDB tables.
  3. Evaluate Amazon Aurora in the appropriate compatible engine mode.
  4. Use Amazon Neptune for graph data.

Explanation

Correct Answer

C:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. The requirement is that a growing relational application specifically wants Aurora's AWS-designed distributed storage and MySQL or PostgreSQL compatibility; the observable success condition is that the database uses the chosen Aurora compatibility interface and managed distributed storage.

Incorrect Answers

A:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. This action handles a high-read relational app needs additional read capacity without moving its primary write endpoint, but it does not address the observed risk that an ordinary RDS engine does not automatically provide Aurora's specialized storage architecture.

B:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. The condition for that alternative is a mobile application needs very low-latency access to key-value items at large scale without managing database servers; this question instead needs the database uses the chosen Aurora compatibility interface and managed distributed storage.

D:

Neptune supports graph models and relationship traversals. It addresses a different situation: a recommendation engine stores many connected relationships and traverses connections between entities; the target requires the database uses the chosen Aurora compatibility interface and managed distributed storage.

Question 573

A company needs a targeted remedy for this cloud problem: DynamoDB is not intended to replace a SQL data warehouse. Which proposed action is best?

  1. Use Amazon ElastiCache for an appropriate in-memory cache.
  2. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  3. Use Amazon Redshift for cloud data warehousing.
  4. Evaluate Amazon Aurora in the appropriate compatible engine mode.

Explanation

Correct Answer

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. The decision directly serves a business intelligence group needs to run large analytical SQL queries across aggregated business data; it produces the testable result that analysts run aggregations over curated analytical data using SQL.

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 analysts run aggregations over curated analytical data using SQL.

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 analysts run aggregations over curated analytical data using SQL.

D:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. That approach would be appropriate when a growing relational application specifically wants Aurora's AWS-designed distributed storage and MySQL or PostgreSQL compatibility, not for the current constraint: a business intelligence group needs to run large analytical SQL queries across aggregated business data.

Question 574

Cloud governance review finds the following exposure: A relational warehouse is not optimized for every graph traversal use case. Which change most directly fixes the issue?

  1. Use Amazon RDS for SQL Server.
  2. Enable RDS Multi-AZ deployment where supported.
  3. Consider AWS Database Migration Service with suitable endpoints and tasks.
  4. Use Amazon Neptune for graph data.

Explanation

Correct Answer

D:

Neptune supports graph models and relationship traversals. It avoids the specific failure that a relational warehouse is not optimized for every graph traversal use case, and the outcome confirms that queries efficiently follow connected relationship paths.

Incorrect Answers

A:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. It addresses a different situation: an application requires Microsoft SQL Server database compatibility, SQL transactions, and managed backups without managing a database EC2 host; the target requires queries efficiently follow connected relationship paths.

B:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. This action handles a transactional RDS database needs a standby in a different Availability Zone for availability, but it does not address the observed risk that a relational warehouse is not optimized for every graph traversal use case.

C:

AWS DMS helps migrate databases and replicate supported changes during transition. The condition for that alternative is an engineer wants to move a database from one platform to AWS with ongoing change replication before cutover; this question instead needs queries efficiently follow connected relationship paths.

Question 575

An AWS solution uses this decision: Use Amazon RDS for SQL Server. What underlying property makes this approach appropriate?

  1. RDS for SQL Server supplies a managed SQL Server engine with supported relational features.
  2. DocumentDB is a managed document database supporting MongoDB-compatible interfaces.
  3. Neptune supports graph models and relationship traversals.
  4. Redshift is designed for analytic warehouse workloads and columnar data processing.

Explanation

Correct Answer

A:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. It avoids the specific failure that aurora does not provide a SQL Server-compatible database engine, and the outcome confirms that the application connects using supported SQL Server interfaces on a managed database.

Incorrect Answers

B:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. This is the rationale for consider Amazon DocumentDB with MongoDB compatibility constraints checked in a different situation; the chosen action is use Amazon RDS for SQL Server.

C:

Neptune supports graph models and relationship traversals. This is the rationale for use Amazon Neptune for graph data in a different situation; the chosen action is use Amazon RDS for SQL Server.

D:

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 RDS for SQL Server.

Question 576

The operations team reports a mismatch between the requirement and actual behavior: Amazon Redshift is an analytical warehouse rather than a high-throughput key-value operational store. Which action corrects it?

  1. Use Amazon DynamoDB tables.
  2. Use Amazon ElastiCache for an appropriate in-memory cache.
  3. Evaluate Amazon Aurora in the appropriate compatible engine mode.
  4. Consider Amazon DocumentDB with MongoDB compatibility constraints checked.

Explanation

Correct Answer

A:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. Given that a mobile application needs very low-latency access to key-value items at large scale without managing database servers, success means items are read and written by their key with low-latency access.

Incorrect Answers

B:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. It would instead yield cache hits return frequently requested records without querying the source database; the problem requires items are read and written by their key with low-latency access.

C:

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 items are read and written by their key with low-latency access.

D:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. That approach would be appropriate when an application needs a managed document-oriented database compatible with a supported MongoDB workload, not for the current constraint: a mobile application needs very low-latency access to key-value items at large scale without managing database servers.

Question 577

An AWS solution uses this decision: Use Amazon Timestream for time-series data. What underlying property makes this approach appropriate?

  1. Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default.
  2. Keyspaces provides managed Cassandra-compatible database APIs.
  3. Timestream is purpose-built for time-indexed metrics and sensor events.
  4. AWS DMS helps migrate databases and replicate supported changes during transition.

Explanation

Correct Answer

C:

Timestream is purpose-built for time-indexed metrics and sensor events. The requirement is that an IoT solution stores timestamped sensor measurements and queries time intervals; the observable success condition is that measurements are queried by time range and dimensions.

Incorrect Answers

A:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. This is the rationale for enable RDS Multi-AZ deployment where supported in a different situation; the chosen action is use Amazon Timestream for time-series data.

B:

Keyspaces provides managed Cassandra-compatible database APIs. This is the rationale for evaluate Amazon Keyspaces for Cassandra-compatible workloads in a different situation; the chosen action is use Amazon Timestream for time-series data.

D:

AWS DMS helps migrate databases and replicate supported changes during transition. This is the rationale for consider AWS Database Migration Service with suitable endpoints and tasks in a different situation; the chosen action is use Amazon Timestream for time-series data.

Question 578

After implementing the decision, Use Amazon DynamoDB tables, what should the team expect to observe?

  1. Items are read and written by their key with low-latency access.
  2. Read-only queries are served from replica endpoints.
  3. Cache hits return frequently requested records without querying the source database.
  4. The application connects using supported SQL Server interfaces on a managed database.

Explanation

Correct Answer

A:

DynamoDB is a managed NoSQL key-value and document database with scalable request capacity. The requirement is that a mobile application needs very low-latency access to key-value items at large scale without managing database servers; the observable success condition is that items are read and written by their key with low-latency access.

Incorrect Answers

B:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. That result validates create suitable RDS read replicas for read scaling, rather than the stated decision to use Amazon DynamoDB tables.

C:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. That result validates use Amazon ElastiCache for an appropriate in-memory cache, rather than the stated decision to use Amazon DynamoDB tables.

D:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. That result validates use Amazon RDS for SQL Server, rather than the stated decision to use Amazon DynamoDB tables.

Question 579

An architect justifies this AWS design: Configure EC2 security group rules. Which explanation is consistent with AWS service responsibilities and behavior?

  1. Load balancers route requests to healthy targets and spread traffic.
  2. Site-to-Site VPN creates IPsec tunnels between customer networks and AWS.
  3. Transit Gateway simplifies hub-and-spoke connectivity among attached networks.
  4. Security groups are stateful network filters applied to supported network interfaces.

Explanation

Correct Answer

D:

Security groups are stateful network filters applied to supported network interfaces. The decision directly serves an instance needs a stateful virtual firewall restricting inbound and outbound ports; it produces the testable result that permitted instance connections return traffic without a separate return-port allow rule.

Incorrect Answers

A:

Load balancers route requests to healthy targets and spread traffic. This is the rationale for use an Elastic Load Balancer for the applicable application or transport protocol in a different situation; the chosen action is configure EC2 security group rules.

B:

Site-to-Site VPN creates IPsec tunnels between customer networks and AWS. This is the rationale for use AWS Site-to-Site VPN in a different situation; the chosen action is configure EC2 security group rules.

C:

Transit Gateway simplifies hub-and-spoke connectivity among attached networks. This is the rationale for use AWS Transit Gateway as a central routing hub in a different situation; the chosen action is configure EC2 security group rules.

Question 580

An architect justifies this AWS design: Use an Elastic Load Balancer for the applicable application or transport protocol. Which explanation is consistent with AWS service responsibilities and behavior?

  1. Security groups are stateful network filters applied to supported network interfaces.
  2. Site-to-Site VPN creates IPsec tunnels between customer networks and AWS.
  3. Load balancers route requests to healthy targets and spread traffic.
  4. VPC peering privately connects two VPCs, but it is not transitive.

Explanation

Correct Answer

C:

Load balancers route requests to healthy targets and spread traffic. The decision directly serves a team runs multiple targets for a web service and needs health-aware routing across them; it produces the testable result that requests are forwarded to healthy registered application instances.

Incorrect Answers

A:

Security groups are stateful network filters applied to supported network interfaces. This is the rationale for configure EC2 security group rules in a different situation; the chosen action is use an Elastic Load Balancer for the applicable application or transport protocol.

B:

Site-to-Site VPN creates IPsec tunnels between customer networks and AWS. This is the rationale for use AWS Site-to-Site VPN in a different situation; the chosen action is use an Elastic Load Balancer for the applicable application or transport protocol.

D:

VPC peering privately connects two VPCs, but it is not transitive. This is the rationale for use VPC peering where routing and address ranges permit in a different situation; the chosen action is use an Elastic Load Balancer for the applicable application or transport protocol.

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