Amazon Web Services chinesedumps saa-c03 Exam Results by Theodora q160 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	1130 Q&A's	Shared By:	theodora

Question 176

A solutions architect creates an Auto Scaling group for a memory-intensive application. The solutions architect wants to scale up and scale down based on memory usage. Which solution will meet this requirement?

Options:

Install and configure the AWS Systems Manager Agent (SSM Agent). Create a step scaling policy that has step adjustments based on the memory usage trend.

Install and configure the Amazon CloudWatch agent. Create a target tracking policy to scale based on the mem_used_percent CloudWatch metric.

Install and configure the AWS Systems Manager Agent (SSM Agent). Create a target tracking policy to scale based on the mem_used_percent Amazon CloudWatch metric.

Install and configure the Amazon CloudWatch agent. Create a scheduled scaling policy to scale based on the memory usage trend.

Discussion

Question 177

A company needs a solution to back up and protect critical AWS resources. The company needs to regularly take backups of several Amazon EC2 instances and Amazon RDS for PostgreSQL databases. To ensure high resiliency, the company must have the ability to validate and restore backups.

Which solution meets the requirement with LEAST operational overhead?

Options:

Use AWS Backup to create a backup schedule for the resources. Use AWS Backup to create a restoration testing plan for the required resources.

Take snapshots of the EC2 instances and RDS DB instances. Create AWS Batch jobs to validate and restore the snapshots.

Create a custom AWS Lambda function to take snapshots of the EC2 instances and RDS DB instances. Create a second Lambda function to restore the snapshots periodically to validate the backups.

Take snapshots of the EC2 instances and RDS DB instances. Create an AWS Lambda function to restore the snapshots periodically to validate the backups.

Discussion

Question 178

A company stores a large volume of critical data in Amazon RDS for PostgreSQL tables. The company is developing several new features for an upcoming product launch. Some of the new features require many table alterations.

The company needs a solution to test the altered tables for several days. After testing, the solution must make the new features available to customers in production.

Which solution will meet these requirements with the HIGHEST availability?

Options:

Create a new instance of the database in RDS for PostgreSQL to test the new features. When the testing is finished, take a backup of the test database, and restore the test database to the production database.

Create new database tables in the production database to test the new features. When the testing is finished, copy the data from the older tables to the new tables. Delete the older tables, and rename the new tables accordingly.

Create an Amazon RDS read replica to deploy a new instance of the database. Make updates to the database tables in the replica instance. When the testing is finished, promote the replica instance to become the new production instance.

Use an Amazon RDS blue/green deployment to deploy a new test instance of the database. Make database table updates in the test instance. When the testing is finished, promote the test instance to become the new production instance.

Discussion

Question 179

A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.

Which solution will meet these requirements with the LEAST development effort?

Options:

Create an Amazon EMR cluster with Apache Spark installed. Write a Spark application to transform the data. Use EMR File System (EMRFS) to write files to the transformed data bucket.

Create an AWS Glue crawler to discover the data. Create an AWS Glue extract, transform, and load (ETL) job to transform the data. Specify the transformed data bucket in the output step.

Use AWS Batch to create a job definition with Bash syntax to transform the data and output the data to the transformed data bucket. Use the job definition to submit a job. Specify an array job as the job type.

Create an AWS Lambda function to transform the data and output the data to the transformed data bucket. Configure an event notification for the S3 bucket. Specify the Lambda function as the destination for the event notification.

Discussion

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