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Question 60

A solutions architect is implementing a complex Java application with a MySQL database. The Java application must be deployed on Apache Tomcat and must be highly available.

What should the solutions architect do to meet these requirements?

Options:

A.

Deploy the application in AWS Lambda. Configure an Amazon API Gateway API to connect with the Lambda functions.

B.

Deploy the application by using AWS Elastic Beanstalk. Configure a load-balanced environment and a rolling deployment policy.

C.

Migrate the database to Amazon ElastiCache. Configure the ElastiCache security group to allow access from the application.

D.

Launch an Amazon EC2 instance. Install a MySQL server on the EC2 instance. Configure the application on the server. Create an AMI. Use the AMI to create a launch template with an Auto scaling group.

Question 61

A company hosts a data lake on Amazon S3. The data lake ingests data in Apache Parquet format from various data sources. The company uses multiple transformation steps to prepare the ingested data. The steps include filtering of anomalies, normalizing of data to standard date and time values, and generation of aggregates for analyses.

The company must store the transformed data in S3 buckets that data analysts access. The company needs a prebuilt solution for data transformation that does not require code. The solution must provide data lineage and data profiling. The company needs to share the data transformation steps with employees throughout the company.

Which solution will meet these requirements?

Options:

A.

Configure an AWS Glue Studio visual canvas to transform the data. Share the transformation steps with employees by using AWS Glue jobs.

B.

Configure Amazon EMR Serverless to transform the data. Share the transformation steps with employees by using EMR Serveriess jobs.

C.

Configure AWS Glue DataBrew to transform the data. Share the transformation steps with employees by using DataBrew recipes.

D.

Create Amazon Athena tables for the data. Write Athena SQL queries to transform the data. Share the Athena SQL queries with employees.

Question 62

A company runs a microservice-based serverless web application. The application must be able to retrieve data from multiple Amazon DynamoDB tables. A solutions architect needs to give the application the ability to retrieve the data with no impact on the baseline performance of the application.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

A.

AWSAppSync pipeline resolvers

B.

Amazon CloudFront with Lambda@Edge functions

C.

Edge-optimized Amazon API Gateway with AWS Lambda functions

D.

Amazon Athena Federated Query with a DynamoDB connector

Question 63

A company needs to store contract documents. A contract lasts for 5 years. During the 5-year period, the company must ensure that the documents cannot be overwritten or deleted. The company needs to encrypt the documents at rest and rotate the encryption keys automatically every year.

Which combination of steps should a solutions architect take to meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

A.

Store the documents in Amazon S3. Use S3 Object Lock in governance mode.

B.

Store the documents in Amazon S3. Use S3 Object Lock in compliance mode.

C.

Use server-side encryption with Amazon S3 managed encryption keys (SSE-S3). Configure key rotation.

D.

Use server-side encryption with AWS Key Management Service (AWS KMS) customer managed keys. Configure key rotation.

E.

Use server-side encryption with AWS Key Management Service (AWS KMS) customer provided (imported) keys. Configure key rotation.

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Exam Code: SAA-C03
Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Last Update: Apr 30, 2024
Questions: 683
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