AWS-Certified-Solutions-Architect-Professional Free Practice Test

- (Exam Topic 1)
A solutions architect must analyze a company's Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently The company is running several large, high-memory EC2 instances lo host database dusters that are deployed in active/passive configurations The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern
The solutions architect must analyze the environment and take action based on the findings. Which solution meets these requirements MOST cost-effectively?

1. A. Create a dashboard by using AWS Systems Manager OpsConter Configure visualizations tor Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes Review thedashboard periodically and identify usage patterns Right size the EC2 instances based on the peaks in the metrics
2. B. Turn on Amazon CloudWatch detailed monitoring for the EC2 instances and their EBS volumes Create and review a dashboard that is based on the metrics Identify usage patterns Right size the FC? instances based on the peaks In the metrics
3. C. Install the Amazon CloudWatch agent on each of the EC2 Instances Turn on AWS Compute Optimizer, and let it run for at least 12 hours Review the recommendations from Compute Optimizer, and right size the EC2 instances as directed
4. D. Sign up for the AWS Enterprise Support plan Turn on AWS Trusted Advisor Wait 12 hours Review the recommendations from Trusted Advisor, and rightsize the EC2 instances as directed

Correct Answer: C
(https://aws.amazon.com/compute-optimizer/pricing/ , https://aws.amazon.com/systems-manager/pricing/ ). https://aws.amazon.com/compute-optimizer/

- (Exam Topic 3)
A company wants to use Amazon S3 to back up its on-premises file storage solution. The company's
on-premises file storage solution supports NFS, and the company wants its new solution to support NFS. The company wants to archive the backup files after 5 days. If the company needs archived files for disaster recovery, the company is willing to wait a few days for the retrieval of those files.
Which solution meets these requirements MOST cost-effectively?

1. A. Deploy an AWS Storage Gateway files gateway that is associated with an S3 bucke
2. B. Move the files from the on-premises file storage solution to the file gatewa
3. C. Create an S3 Lifecycle rule to move the file to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.
4. D. Deploy an AWS Storage Gateway volume gateway that is associated with an S3 bucke
5. E. Move the filesfrom the on-premises file storage solution to the volume gatewa
6. F. Create an S3 Lifecycle rule to move the files to S3 Glacier Deep Archive after 5 days.
7. G. Deploy an AWS Storage Gateway tape gateway that is associated with an S3 bucke
8. H. Move the files from the on-premises file storage solution to the tape gatewa
9. I. Create an S3 Lifecycle rule to move the files to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.
10. J. Deploy an AWS Storage Gateway file gateway that is associated with an S3 bucke
11. K. Move the files from the on-premises file storage solution to the tape gatewa
12. L. Create an S3 Lifecycle rule to move the files to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.
13. M. Deploy an AWS Storage Gateway file gateway that is associated with an S3 bucke
14. N. Move the files from the on-premises file storage solution to the file gatewa
15. O. Create an S3 Lifecycle rule to move the files to S3 Glacier Deep Archive after 5 days.

Correct Answer: E

- (Exam Topic 3)
A company is currently in the design phase of an application that will need an RPO of less than 5 minutes and an RTO of less than 10 minutes. The solutions architecture team is forecasting that the database will store approximately 10 TB of data. As part of the design, they are looking for a database solution that will provide the company with the ability to fail over to a secondary Region.
Which solution will meet these business requirements at the LOWEST cost?

1. A. Deploy an Amazon Aurora DB cluster and take snapshots of the cluster every 5 minute
2. B. Once a snapshot is complete, copy the snapshot to a secondary Region to serve as a backup in the event of a failure.
3. C. Deploy an Amazon RDS instance with a cross-Region read replica in a secondary Regio
4. D. In the event of a failure, promote the read replica to become the primary.
5. E. Deploy an Amazon Aurora DB cluster in the primary Region and another in a secondary Regio
6. F. Use AWS DMS to keep the secondary Region in sync.
7. G. Deploy an Amazon RDS instance with a read replica in the same Regio
8. H. In the event of a failure, promote the read replica to become the primary.

Correct Answer: B
The best solution is to deploy an Amazon RDS instance with a cross-Region read replica in a secondary
Region. This will provide the company with a database solution that can fail over to the secondary Region in case of a disaster. The read replica will have minimal replication lag and can be promoted to become the primary in less than 10 minutes, meeting the RTO requirement. The RPO requirement of less than 5 minutes can also be met by using synchronous replication within the primary Region and asynchronous replication across Regions. This solution will also have the lowest cost compared to the other options, as it does not involve additional services or resources. References: [Amazon RDS User Guide], [Amazon Aurora User Guide]

- (Exam Topic 3)
A company is planning a one-time migration of an on-premises MySQL database to Amazon Aurora MySQL in the us-east-1 Region. The company's current internet connection has limited bandwidth. The on-premises MySQL database is 60 TB in size The company estimates that it will take a month to transfer the data to AWS over the current internet connection.
The company needs a migration solution that will migrate the database more quickly Which solution will migrate the database in the LEAST amount of time?

1. A. Request a 1 Gbps AWS Direct Connect connection between the on-premises data center and AWS Use AWS Database Migration Service (AWS DMS) to migrate the on-premises MySQL database to Aurora MySQL.
2. B. Use AWS DataSync with the current internet connection to accelerate the data transfer between theon-premises data center and AWS Use AWS Application Migration Service to migrate the on-premises MySQL database to Aurora MySQL.
3. C. Order an AWS Snowball Edge Device Load the data into an Amazon S3 bucket by using the S3 interface Use AWS Database Migration Service (AWS DMS) to migrate the data from Amazon S3 to Aurora MySQL
4. D. Order an AWS Snowball Device Load the data into an Amazon S3 bucket by using the S3 Adapter for Snowball Use AWS Application Migration Service to migrate the data from Amazon S3 to Aurora MySQL.

Correct Answer: C

- (Exam Topic 3)
A company deploys a new web application. As pari of the setup, the company configures AWS WAF to log to Amazon S3 through Amazon Kinesis Data Firehose. The company develops an Amazon Athena query that runs once daily to return AWS WAF log data from the previous 24 hours. The volume of daily logs is constant. However, over time, the same query is taking more time to run.
A solutions architect needs to design a solution to prevent the query time from continuing to increase. The solution must minimize operational overhead.
Which solution will meet these requirements?

1. A. Create an AWS Lambda function that consolidates each day's AWS WAF logs into one log file.
2. B. Reduce the amount of data scanned by configuring AWS WAF to send logs to a different S3 bucket each day.
3. C. Update the Kinesis Data Firehose configuration to partition the data in Amazon S3 by date and time.Create external tables for Amazon Redshif
4. D. Configure Amazon Redshift Spectrum to query the data source.
5. E. Modify the Kinesis Data Firehose configuration and Athena table definition to partition the data by date and tim
6. F. Change the Athena query to view the relevant partitions.

Correct Answer: D
The best solution is to modify the Kinesis Data Firehose configuration and Athena table definition to partition the data by date and time. This will reduce the amount of data scanned by Athena and improve the query performance. Changing the Athena query to view the relevant partitions will also help to filter out unnecessary data. This solution requires minimal operational overhead as it does not involve creating additional resources or changing the log format. References: [AWS WAF Developer Guide], [Amazon Kinesis Data Firehose Use Guide], [Amazon Athena User Guide]