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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 57

Question 560

For a workload about to launch on AWS, the requirement is: A high-read relational app needs additional read capacity without moving its primary write endpoint. Which option addresses it?

  1. Create suitable RDS read replicas for read scaling.
  2. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  3. Use Amazon Redshift for cloud data warehousing.
  4. Evaluate Amazon Keyspaces for Cassandra-compatible workloads.

Explanation

Correct Answer

A:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. The requirement is that a high-read relational app needs additional read capacity without moving its primary write endpoint; the observable success condition is that read-only queries are served from replica endpoints.

Incorrect Answers

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 read-only queries are served from replica endpoints.

C:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a high-read relational app needs additional read capacity without moving its primary write endpoint.

D:

Keyspaces provides managed Cassandra-compatible database APIs. This action handles a team runs Apache Cassandra applications and wants an AWS-managed compatible database service, but it does not address the observed risk that enabling a standby solely for availability does not automatically scale application reads.

Question 561

The team will implement this choice: Use Amazon ElastiCache for an appropriate in-memory cache. Which statement is the rationale for the decision?

  1. Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem.
  2. ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads.
  3. DocumentDB is a managed document database supporting MongoDB-compatible interfaces.
  4. Keyspaces provides managed Cassandra-compatible database APIs.

Explanation

Correct Answer

B:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. It avoids the specific failure that adding a second transactional database may not provide low-latency cache semantics, and the outcome confirms that cache hits return frequently requested records without querying the source database.

Incorrect Answers

A:

Aurora combines a relational SQL interface with its AWS-designed distributed storage subsystem. This is the rationale for evaluate Amazon Aurora in the appropriate compatible engine mode in a different situation; the chosen action is use Amazon ElastiCache for an appropriate in-memory cache.

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 use Amazon ElastiCache for an appropriate in-memory cache.

D:

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 ElastiCache for an appropriate in-memory cache.

Question 562

A company selects this service or practice: Use Amazon Neptune for graph data. Which description correctly states its relevant capability?

  1. MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache.
  2. DocumentDB is a managed document database supporting MongoDB-compatible interfaces.
  3. DynamoDB is a managed NoSQL key-value and document database with scalable request capacity.
  4. Neptune supports graph models and relationship traversals.

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:

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 Neptune for graph data.

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 Neptune for graph data.

C:

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 use Amazon Neptune for graph data.

Question 563

A project owner states the following business and technical constraint: An application needs a managed document-oriented database compatible with a supported MongoDB workload. Which response fits?

  1. Use Amazon RDS for SQL Server.
  2. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  3. Use Amazon ElastiCache for an appropriate in-memory cache.
  4. Consider Amazon DocumentDB with MongoDB compatibility constraints checked.

Explanation

Correct Answer

D:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. Given that an application needs a managed document-oriented database compatible with a supported MongoDB workload, success means the app uses document queries through its supported API.

Incorrect Answers

A:

RDS for SQL Server supplies a managed SQL Server engine with supported relational features. The condition for that alternative is an application requires Microsoft SQL Server database compatibility, SQL transactions, and managed backups without managing a database EC2 host; this question instead needs the app uses document queries through its supported API.

B:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. This action handles a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns, but it does not address the observed risk that a graph database is not a document-database replacement.

C:

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 the app uses document queries through its supported API.

Question 564

The operations team reports a mismatch between the requirement and actual behavior: Enabling a standby solely for availability does not automatically scale application reads. Which action corrects it?

  1. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  2. Use Amazon Redshift for cloud data warehousing.
  3. Create suitable RDS read replicas for read scaling.
  4. Use Amazon ElastiCache for an appropriate in-memory cache.

Explanation

Correct Answer

C:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. It avoids the specific failure that enabling a standby solely for availability does not automatically scale application reads, and the outcome confirms that read-only queries are served from replica endpoints.

Incorrect Answers

A:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. Its observable effect is the application has an in-memory database with durability-oriented design, while the intended outcome here is read-only queries are served from replica endpoints.

B:

Redshift is designed for analytic warehouse workloads and columnar data processing. That approach would be appropriate when a business intelligence group needs to run large analytical SQL queries across aggregated business data, not for the current constraint: a high-read relational app needs additional read capacity without moving its primary write endpoint.

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 read-only queries are served from replica endpoints.

Question 565

A migration or service change has been completed: Use Amazon RDS for SQL Server. Which result demonstrates its intended effect?

  1. The application connects using supported SQL Server interfaces on a managed database.
  2. The destination catches up with source changes ahead of cutover.
  3. Measurements are queried by time range and dimensions.
  4. The application uses supported Cassandra-compatible operations.

Explanation

Correct Answer

A:

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

B:

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 use Amazon RDS for SQL Server.

C:

Timestream is purpose-built for time-indexed metrics and sensor events. That result validates use Amazon Timestream for time-series data, rather than the stated decision to use Amazon RDS for SQL Server.

D:

Keyspaces provides managed Cassandra-compatible database APIs. That result validates evaluate Amazon Keyspaces for Cassandra-compatible workloads, rather than the stated decision to use Amazon RDS for SQL Server.

Question 566

Cloud governance review finds the following exposure: S3 static object copy alone does not continuously replicate relational transactions. Which change most directly fixes the issue?

  1. Consider AWS Database Migration Service with suitable endpoints and tasks.
  2. Use Amazon Redshift for cloud data warehousing.
  3. Use Amazon Timestream for time-series data.
  4. Enable RDS Multi-AZ deployment where supported.

Explanation

Correct Answer

A:

AWS DMS helps migrate databases and replicate supported changes during transition. Given that an engineer wants to move a database from one platform to AWS with ongoing change replication before cutover, success means the destination catches up with source changes ahead of cutover.

Incorrect Answers

B:

Redshift is designed for analytic warehouse workloads and columnar data processing. This action handles a business intelligence group needs to run large analytical SQL queries across aggregated business data, but it does not address the observed risk that S3 static object copy alone does not continuously replicate relational transactions.

C:

Timestream is purpose-built for time-indexed metrics and sensor events. The condition for that alternative is an IoT solution stores timestamped sensor measurements and queries time intervals; this question instead needs the destination catches up with source changes ahead of cutover.

D:

Multi-AZ maintains a standby for failover resilience, not a separate read-scaling endpoint by default. It would instead yield the primary can fail over to the standby after a relevant outage; the problem requires the destination catches up with source changes ahead of cutover.

Question 567

An AWS solution uses this decision: Consider AWS Database Migration Service with suitable endpoints and tasks. What underlying property makes this approach appropriate?

  1. Neptune supports graph models and relationship traversals.
  2. MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache.
  3. AWS DMS helps migrate databases and replicate supported changes during transition.
  4. Timestream is purpose-built for time-indexed metrics and sensor events.

Explanation

Correct Answer

C:

AWS DMS helps migrate databases and replicate supported changes during transition. It avoids the specific failure that S3 static object copy alone does not continuously replicate relational transactions, and the outcome confirms that the destination catches up with source changes ahead of cutover.

Incorrect Answers

A:

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 consider AWS Database Migration Service with suitable endpoints and tasks.

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 consider AWS Database Migration Service with suitable endpoints and tasks.

D:

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 consider AWS Database Migration Service with suitable endpoints and tasks.

Question 568

A company needs a targeted remedy for this cloud problem: Adding a second transactional database may not provide low-latency cache semantics. Which proposed action is best?

  1. Use Amazon Redshift for cloud data warehousing.
  2. Create suitable RDS read replicas for read scaling.
  3. Use Amazon ElastiCache for an appropriate in-memory cache.
  4. Consider AWS Database Migration Service with suitable endpoints and tasks.

Explanation

Correct Answer

C:

ElastiCache stores frequently accessed data in memory to reduce repeated back-end reads. The decision directly serves a latency-sensitive application repeatedly reads the same product records from a primary database; it produces the testable result that cache hits return frequently requested records without querying the source database.

Incorrect Answers

A:

Redshift is designed for analytic warehouse workloads and columnar data processing. It addresses a different situation: a business intelligence group needs to run large analytical SQL queries across aggregated business data; the target requires cache hits return frequently requested records without querying the source database.

B:

Read replicas offload eligible read traffic but are not the same as synchronous Multi-AZ failover standby. Its observable effect is read-only queries are served from replica endpoints, while the intended outcome here is cache hits return frequently requested records without querying the source database.

D:

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 cache hits return frequently requested records without querying the source database.

Question 569

A company needs a targeted remedy for this cloud problem: A general-purpose document store does not provide purpose-built time-series semantics. Which proposed action is best?

  1. Consider Amazon DocumentDB with MongoDB compatibility constraints checked.
  2. Evaluate Amazon Keyspaces for Cassandra-compatible workloads.
  3. Evaluate Amazon MemoryDB for Redis-compatible durability needs.
  4. Use Amazon Timestream for time-series data.

Explanation

Correct Answer

D:

Timestream is purpose-built for time-indexed metrics and sensor events. The decision directly serves an IoT solution stores timestamped sensor measurements and queries time intervals; it produces the testable result that measurements are queried by time range and dimensions.

Incorrect Answers

A:

DocumentDB is a managed document database supporting MongoDB-compatible interfaces. Its observable effect is the app uses document queries through its supported API, while the intended outcome here is measurements are queried by time range and dimensions.

B:

Keyspaces provides managed Cassandra-compatible database APIs. It addresses a different situation: a team runs Apache Cassandra applications and wants an AWS-managed compatible database service; the target requires measurements are queried by time range and dimensions.

C:

MemoryDB is a Redis-compatible durable in-memory database rather than only a disposable cache. The condition for that alternative is a workload needs durable, ultra-fast in-memory data with Redis-compatible access patterns; this question instead needs measurements are queried by time range and dimensions.

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.

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