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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by mara

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 999 Q&A's Shared By: mara
Question 104

A company has a business-critical application that runs on Amazon EC2 instances. The application stores data in an Amazon DynamoDB table. The company must be able to revert the table to any point within the last 24 hours.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Configure point-in-time recovery for the table.

B.

Use AWS Backup for the table.

C.

Use an AWS Lambda function to make an on-demand backup of the table every hour.

D.

Turn on streams on the table to capture a log of all changes to the table in the last 24 hours Store a copy of the stream in an Amazon S3 bucket.

Discussion
Question 105

A solutions architect needs to design the architecture for an application that a vendor provides as a Docker container image The container needs 50 GB of storage available for temporary files The infrastructure must be serverless.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Create an AWS Lambda function that uses the Docker container image with an Amazon S3 mounted volume that has more than 50 GB of space

B.

Create an AWS Lambda function that uses the Docker container image with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space

C.

Create an Amazon Elastic Container Service (Amazon ECS) cluster that uses the AWS Fargate launch type Create a task definition for the container image with an Amazon Elastic File System (Amazon EFS) volume. Create a service with that task definition.

D.

Create an Amazon Elastic Container Service (Amazon ECS) cluster that uses the Amazon EC2 launch type with an Amazon Elastic Block Store (Amazon EBS) volume that has more than 50 GB of space Create a task definition for the container image. Create a service with that task definition.

Discussion
Question 106

A company has deployed its application on Amazon EC2 instances with an Amazon RDS database. The company used the principle of least privilege to configure the database access credentials. The company's security team wants to protect the application and the database from SQL injection and other web-based attacks.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Use security groups and network ACLs to secure the database and application servers.

B.

Use AWS WAF to protect the application. Use RDS parameter groups to configure the security settings.

C.

Use AWS Network Firewall to protect the application and the database.

D.

Use different database accounts in the application code for different functions. Avoid granting excessive privileges to the database users.

Discussion
Question 107

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.

Discussion
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