Instant Access Amazon.SAP-C02.v2024-05-28.q339 Actual Practice Test Engine for Free (Page 6)

Question 21

A finance company is storing financial records in an Amazon S3 bucket. The company persists a record for every financial transaction. According to regulatory requirements, the records cannot be modified for at least 1 year after they are written. The records are read on a regular basis and must be immediately accessible.
Which solution will meet these requirements?

A.Create an S3 bucket policy with a Deny action for PutObject operations with a condition where the s3:x-amz-object-retention header is not equal to 1 year.
B.Create a new S3 bucket. Turn on S3 Object Lock, set a default retention period of 1 year, and set the retention mode to compliance mode. Store all records in the new S3 bucket.
C.Create an S3 Lifecycle rule to immediately transfer new objects to the S3 Glacier storage tier Create an S3 Glacier Vault Lock policy that has a retention period of 1 year.
D.Create an S3 Lifecycle rule to immediately transfer new objects to the S3 Intelligent-Tiering storage tier. Set a retention period of 1 year.

Question 22

A solutions architect needs to assess a newly acquired company's portfolio of applications and databases. The solutions architect must create a business case to migrate the portfolio to AWS. The newly acquired company runs applications in an on-premises data center. The data center is not well documented. The solutions architect cannot immediately determine how many applications and databases exist. Traffic for the applications is variable. Some applications are batch processes that run at the end of each month.
The solutions architect must gain a better understanding of the portfolio before a migration to AWS can begin.
Which solution will meet these requirements?

A.Use AWS Server Migration Service (AWS SMS) and AWS Database Migration Service (AWS DMS) to evaluate migration. Use AWS Service Catalog to understand application and database dependencies.
B.Use AWS Application Migration Service. Run agents on the on-premises infrastructure. Manage the agents by using AWS Migration Hub. Use AWS Storage Gateway to assess local storage needs and database dependencies.
C.Use Migration Evaluator to generate a list of servers. Build a report for a business case. Use AWS Migration Hub to view the portfolio. Use AWS Application Discovery Service to gain an understanding of application dependencies.
D.Use AWS Control Tower in the destination account to generate an application portfolio. Use AWS Server Migration Service (AWS SMS) to generate deeper reports and a business case. Use a landing zone for core accounts and resources.

Question 23

A company has purchased appliances from different vendors. The appliances all have loT sensors. The sensors send status information in the vendors' proprietary formats to a legacy application that parses the information into JSON. The parsing is simple, but each vendor has a unique format. Once daily, the application parses all the JSON records and stores the records in a relational database for analysis.
The company needs to design a new data analysis solution that can deliver faster and optimize costs.
Which solution will meet these requirements?

A.Connect the loT sensors to AWS loT Core. Set a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3. Use AWS Glue to catalog the files. Use Amazon Athena and Amazon OuickSight for analysis.
B.Migrate the application server to AWS Fargate, which will receive the information from loT sensors and parse the information into a relational format. Save the parsed information to Amazon Redshift for analysis.
C.Create an AWS Transfer for SFTP server. Update the loT sensor code to send the information as a .csv file through SFTP to the server. Use AWS Glue to catalog the files. Use Amazon Athena for analysis.
D.Use AWS Snowball Edge to collect data from the loT sensors directly to perform local analysis. Periodically collect the data into Amazon Redshift to perform global analysis.

Correct Answer: A

This solution will meet the requirement for faster data analysis and cost optimization. By connecting the IoT sensors to AWS IoT Core, it will enable to receive the data from the sensors in real-time. This means that data can be analyzed as soon as it is received, providing faster insights. AWS IoT Core enables you to easily and securely connect and manage IoT devices at scale.
AWS Lambda is a serverless compute service that runs your code without provisioning or managing servers, allowing you to build and run applications and services without thinking about servers. Setting a rule to invoke an AWS Lambda function to parse the information and save a .csv file to Amazon S3 will provide a cost-effective way to store the parsed data.
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. With S3, you can store and retrieve any amount of data, at any time, from anywhere on the web.
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. AWS Glue automatically discovers and profiles data via the Glue Data Catalog, recommends and generates ETL code to transform your source data into target schemas, and runs the ETL jobs on a fully managed, scale-out Spark environment to load your data into its destination.
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
Amazon QuickSight is a fast, cloud-powered business intelligence service that makes it easy to deliver insights to everyone in your organization. With QuickSight, you can create and publish interactive dashboards and reports in minutes, and share them with others to collaborate and make data-driven decisions.
Reference:
AWS IoT Core
AWS Lambda
Amazon S3
AWS Glue
Amazon Athena
Amazon QuickSight

Question 24

A company has several AWS accounts. A development team is building an automation framework for cloud governance and remediation processes. The automation framework uses AWS Lambda functions in a centralized account. A solutions architect must implement a least privilege permissions policy that allows the Lambda functions to run in each of the company's AWS accounts.
Which combination of steps will meet these requirements? (Choose two.)

A.In the centralized account, create an IAM role that has the Lambda service as a trusted entity. Add an inline policy to assume the roles of the other AWS accounts.
B.In the other AWS accounts, create an IAM role that has minimal permissions. Add the centralized account's Lambda IAM role as a trusted entity.
C.In the centralized account, create an IAM role that has roles of the other accounts as trusted entities.
Provide minimal permissions.
D.In the other AWS accounts, create an IAM role that has permissions to assume the role of the centralized account. Add the Lambda service as a trusted entity.
E.In the other AWS accounts, create an IAM role that has minimal permissions. Add the Lambda service as a trusted entity.

Question 25

A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.
A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.
Which solution will meet these requirements?

A.Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket.
Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
B.Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source.
Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
C.Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.
D.Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.

Question 21

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Question 25

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