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Exam Code: AWS Certified Cloud Practitioner CLF-C02

Exam Name AWS Certified Cloud Practitioner CLF-C02

Certification Provider: Amazon

Corresponding Certification: AWS Certified Cloud Practitioner

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Amazon AWS Certified Cloud Practitioner CLF-C02 Practice Test 42

Question 410

Which service-to-requirement explanation best fits this situation: An application needs a cloud-optimized managed relational engine with high availability options?

  1. Amazon ElastiCache — ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data
  2. Amazon Aurora — Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL
  3. Amazon DynamoDB — provides managed key-value and document NoSQL storage
  4. Amazon Neptune — provides a managed graph database

Explanation

Correct Answer

B:

Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL. This fits the situation: An application needs a cloud-optimized managed relational engine with high availability options.

Incorrect Answers

A:

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

C:

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

D:

Amazon Neptune provides a managed graph database. This does not address the need for An application needs a cloud-optimized managed relational engine with high availability options. The appropriate Amazon Aurora applies because Aurora is an AWS-built managed relational engine compatible with MySQL and PostgreSQL.

Question 411

A mobile application needs a highly scalable serverless key-value and document data store. Which option is the best fit?

  1. Amazon Redshift
  2. Amazon ElastiCache
  3. Amazon DynamoDB
  4. Amazon RDS

Explanation

Correct Answer

C:

DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models. This fits the case: A mobile application needs a highly scalable serverless key-value and document data store.

Incorrect Answers

A:

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: A mobile application needs a highly scalable serverless key-value and document data store.

B:

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: A mobile application needs a highly scalable serverless key-value and document data store.

D:

Amazon RDS provides managed relational database engines. That does not meet the requirement: A mobile application needs a highly scalable serverless key-value and document data store.

Question 412

A mobile application needs a highly scalable serverless key-value and document data store. Which justification most accurately supports the recommended choice?

  1. Amazon ElastiCache — ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data
  2. Amazon RDS — provides managed relational database engines
  3. Amazon Redshift — serves analytics warehousing SQL workloads
  4. Amazon DynamoDB — DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models

Explanation

Correct Answer

D:

DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models. This fits the situation: A mobile application needs a highly scalable serverless key-value and document data store.

Incorrect Answers

A:

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for A mobile application needs a highly scalable serverless key-value and document data store. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

B:

Amazon RDS provides managed relational database engines. This does not address the need for A mobile application needs a highly scalable serverless key-value and document data store. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

C:

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for A mobile application needs a highly scalable serverless key-value and document data store. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

Question 413

Consider this AWS requirement: A gaming backend expects flexible NoSQL records and fast key-based access at large scale. What should the team select?

  1. Amazon DynamoDB
  2. Amazon RDS
  3. Amazon ElastiCache
  4. Amazon Redshift

Explanation

Correct Answer

A:

DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models. This fits the case: A gaming backend expects flexible NoSQL records and fast key-based access at large scale.

Incorrect Answers

B:

Amazon RDS provides managed relational database engines. That does not meet the requirement: Consider this AWS requirement: A gaming backend expects flexible NoSQL records and fast key-based access at large scale.

C:

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. That does not meet the requirement: Consider this AWS requirement: A gaming backend expects flexible NoSQL records and fast key-based access at large scale.

D:

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: Consider this AWS requirement: A gaming backend expects flexible NoSQL records and fast key-based access at large scale.

Question 414

A review board wants evidence for this choice: A gaming backend expects flexible NoSQL records and fast key-based access at large scale. Which reasoning is best aligned with the requirement?

  1. Amazon Redshift — serves analytics warehousing SQL workloads
  2. Amazon DynamoDB — DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models
  3. Amazon RDS — provides managed relational database engines
  4. Amazon ElastiCache — ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data

Explanation

Correct Answer

B:

DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models. This fits the situation: A gaming backend expects flexible NoSQL records and fast key-based access at large scale.

Incorrect Answers

A:

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for A gaming backend expects flexible NoSQL records and fast key-based access at large scale. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

C:

Amazon RDS provides managed relational database engines. This does not address the need for A gaming backend expects flexible NoSQL records and fast key-based access at large scale. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

D:

Amazon ElastiCache: ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This does not address the need for A gaming backend expects flexible NoSQL records and fast key-based access at large scale. The appropriate Amazon DynamoDB applies because DynamoDB is a fully managed serverless NoSQL database supporting key-value and document models.

Question 415

A busy app repeatedly reads the same values and needs an in-memory managed cache. Which cloud capability or service directly addresses the requirement?

  1. Amazon DynamoDB
  2. Amazon RDS
  3. Amazon ElastiCache
  4. Amazon Redshift

Explanation

Correct Answer

C:

ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This fits the case: A busy app repeatedly reads the same values and needs an in-memory managed cache.

Incorrect Answers

A:

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: A busy app repeatedly reads the same values and needs an in-memory managed cache.

B:

Amazon RDS provides managed relational database engines. That does not meet the requirement: A busy app repeatedly reads the same values and needs an in-memory managed cache.

D:

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: A busy app repeatedly reads the same values and needs an in-memory managed cache.

Question 416

A busy app repeatedly reads the same values and needs an in-memory managed cache. Which explanation correctly distinguishes the appropriate approach from the alternatives?

  1. Amazon DynamoDB — provides managed key-value and document NoSQL storage
  2. Amazon RDS — provides managed relational database engines
  3. Amazon Redshift — serves analytics warehousing SQL workloads
  4. Amazon ElastiCache — ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data

Explanation

Correct Answer

D:

ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This fits the situation: A busy app repeatedly reads the same values and needs an in-memory managed cache.

Incorrect Answers

A:

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for A busy app repeatedly reads the same values and needs an in-memory managed cache. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

B:

Amazon RDS provides managed relational database engines. This does not address the need for A busy app repeatedly reads the same values and needs an in-memory managed cache. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

C:

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for A busy app repeatedly reads the same values and needs an in-memory managed cache. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

Question 417

A technical reviewer evaluates this need: An ecommerce site wants to reduce relational database read load with low-latency cached results. Which choice is most appropriate?

  1. Amazon ElastiCache
  2. Amazon DynamoDB
  3. Amazon RDS
  4. Amazon Redshift

Explanation

Correct Answer

A:

ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This fits the case: An ecommerce site wants to reduce relational database read load with low-latency cached results.

Incorrect Answers

B:

Amazon DynamoDB provides managed key-value and document NoSQL storage. That does not meet the requirement: A technical reviewer evaluates this need: An ecommerce site wants to reduce relational database read load with low-latency cached results.

C:

Amazon RDS provides managed relational database engines. That does not meet the requirement: A technical reviewer evaluates this need: An ecommerce site wants to reduce relational database read load with low-latency cached results.

D:

Amazon Redshift: Serves analytics warehousing SQL workloads. That does not meet the requirement: A technical reviewer evaluates this need: An ecommerce site wants to reduce relational database read load with low-latency cached results.

Question 418

For the following need, select the most defensible technical rationale: An ecommerce site wants to reduce relational database read load with low-latency cached results.

  1. Amazon Redshift — serves analytics warehousing SQL workloads
  2. Amazon ElastiCache — ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data
  3. Amazon RDS — provides managed relational database engines
  4. Amazon DynamoDB — provides managed key-value and document NoSQL storage

Explanation

Correct Answer

B:

ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data. This fits the situation: An ecommerce site wants to reduce relational database read load with low-latency cached results.

Incorrect Answers

A:

Amazon Redshift: Serves analytics warehousing SQL workloads. This does not address the need for An ecommerce site wants to reduce relational database read load with low-latency cached results. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

C:

Amazon RDS provides managed relational database engines. This does not address the need for An ecommerce site wants to reduce relational database read load with low-latency cached results. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

D:

Amazon DynamoDB provides managed key-value and document NoSQL storage. This does not address the need for An ecommerce site wants to reduce relational database read load with low-latency cached results. The appropriate Amazon ElastiCache applies because ElastiCache supplies managed in-memory caching engines for high-speed access to frequently used data.

Question 419

An organization wants to migrate and replicate database data to AWS with minimal service interruption. Identify the AWS approach that most directly meets the stated goal.

  1. AWS Schema Conversion Tool
  2. AWS Glue
  3. AWS Database Migration Service
  4. Amazon Athena

Explanation

Correct Answer

C:

AWS DMS helps migrate databases and perform ongoing replication between supported data stores. This fits the case: An organization wants to migrate and replicate database data to AWS with minimal service interruption.

Incorrect Answers

A:

AWS Schema Conversion Tool: AWS SCT assists in assessing and converting database schemas and related code across supported engines. That does not meet the requirement: An organization wants to migrate and replicate database data to AWS with minimal service interruption.

B:

AWS Glue: Supports managed ETL and data catalog workflows. That does not meet the requirement: An organization wants to migrate and replicate database data to AWS with minimal service interruption.

D:

Amazon Athena: Queries object data through serverless SQL. That does not meet the requirement: An organization wants to migrate and replicate database data to AWS with minimal service interruption.

Question 420

Which service-to-requirement explanation best fits this situation: An organization wants to migrate and replicate database data to AWS with minimal service interruption?

  1. Amazon Athena — queries object data through serverless SQL
  2. AWS Glue — supports managed ETL and data catalog workflows
  3. AWS Schema Conversion Tool — AWS SCT assists in assessing and converting database schemas and related code across supported engines
  4. AWS Database Migration Service — AWS DMS helps migrate databases and perform ongoing replication between supported data stores

Explanation

Correct Answer

D:

AWS DMS helps migrate databases and perform ongoing replication between supported data stores. This fits the situation: An organization wants to migrate and replicate database data to AWS with minimal service interruption.

Incorrect Answers

A:

Amazon Athena: Queries object data through serverless SQL. This does not address the need for An organization wants to migrate and replicate database data to AWS with minimal service interruption. The appropriate AWS Database Migration Service applies because AWS DMS helps migrate databases and perform ongoing replication between supported data stores.

B:

AWS Glue: Supports managed ETL and data catalog workflows. This does not address the need for An organization wants to migrate and replicate database data to AWS with minimal service interruption. The appropriate AWS Database Migration Service applies because AWS DMS helps migrate databases and perform ongoing replication between supported data stores.

C:

AWS Schema Conversion Tool: AWS SCT assists in assessing and converting database schemas and related code across supported engines. This does not address the need for An organization wants to migrate and replicate database data to AWS with minimal service interruption. The appropriate AWS Database Migration Service applies because AWS DMS helps migrate databases and perform ongoing replication between supported data stores.