Amazon SAP-C01 Online Practice Questions and Exam Preparation

Amazon SAP-C01 Online Questions & Answers

• Question 631:

  A user is configuring MySQL RDS with PIOPS. What should be the minimum size of DB storage provided by the user?

  A. 1 TB
  B. 50 GB
  C. 5 GB
  D. 100 GB
  D. 100 GB

• Question 632:

  A company wants to control its cost of Amazon Athena usage The company has allocated a specific monthly budget for Athena usage A solutions architect must design a solution that will prevent the company from exceeding the budgeted amount.

  Which solution will moot these requirements?

  A. Use AWS Budgets. Create an alarm (or when the cost of Athena usage reaches the budgeted amount for the month. Configure AWS Budgets actions to deactivate Athena until the end of the month.
  B. Use Cost Explorer to create an alert for when the cost of Athena usage reaches the budgeted amount for the month. Configure Cost Explorer to publish notifications to an Amazon Simple Notification Service (Amazon SNS) topic.
  C. Use AWS Trusted Advisor to track the cost of Athena usage. Configure an Amazon EventBridge (Amazon CloudWatch Events) rule to deactivate Athena until the end of the month whenever the cost reaches the budgeted amount for the month
  D. Use Athena workgroups to set a limit on the amount of data that can be scanned. Set a limit that is appropriate for the monthly budget and the current pricing for Athena.
  D. Use Athena workgroups to set a limit on the amount of data that can be scanned. Set a limit that is appropriate for the monthly budget and the current pricing for Athena.

• Question 633:

  Can a user configure a custom health check with Auto Scaling?

  A. Yes, but the configured data will not be saved to Auto Scaling.
  B. No, only an ELB health check can be configured with Auto Scaling.
  C. Yes
  D. No
  C. Yes

• Question 634:

  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 to host database clusters 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?

  A. Create a dashboard by using AWS Systems Manager OpsCenter. Configure visualizations for Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes. Review the dashboard periodically, and identify usage patterns. Rightsize the EC2 instances based on the peaks in the metrics.
  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. Rightsize the EC2 instances based on the peaks in the metrics.
  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 rightsize the EC2 instances as directed.
  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.
  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 rightsize the EC2 instances as directed.

• Question 635:

  An organization has a write-intensive mobile application that uses Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. The application has scaled well, however, costs have increased exponentially because of higher than anticipated Lambda costs. The application's use is unpredictable, but there has been a steady 20% increase in utilization every month. While monitoring the current Lambda functions, the Solutions Architect notices that the execution-time averages 4.5 minutes. Most of the wait time is the result of a high-latency network call to a 3-TB MySQL database server that is on- premises. A VPN is used to connect to the VPC, so the Lambda functions have been configured with a five-minute timeout.

  How can the Solutions Architect reduce the cost of the current architecture?

  A. 1. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database. 2. Enable local caching in the mobile application to reduce the Lambda function invocation calls. 3. Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time. 4. Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.
  B. 1. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database. 2. Cache the API Gateway results to Amazon CloudFront. 3. Use Amazon EC2 Reserved Instances instead of Lambda. 4. Enable Auto Scaling on EC2, and use Spot Instances during peak times. 5. Enable DynamoDB Auto Scaling to manage target utilization.
  C. 1. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL. 2. Enable caching of the Amazon API Gateway results in Amazon CloudFront to reduce the number of Lambda function invocations. 3. Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time. 4. Enable DynamoDB Accelerator for frequently accessed records, and enable the DynamoDB Auto Scaling feature.
  D. 1. Migrate the MySQL database server into a Multi-AZ Amazon RDS for MySQL. 2. Enable API caching on API Gateway to reduce the number of Lambda function invocations. 3. Continue to monitor the AWS Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time. 4. Enable Auto Scaling in DynamoDB.
  A. 1. Replace the VPN with AWS Direct Connect to reduce the network latency to the on-premises MySQL database. 2. Enable local caching in the mobile application to reduce the Lambda function invocation calls. 3. Monitor the Lambda function performance; gradually adjust the timeout and memory properties to lower values while maintaining an acceptable execution time. 4. Offload the frequently accessed records from DynamoDB to Amazon ElastiCache.

• Question 636:

  An administrator is using Amazon CloudFormation to deploy a three tier web application that consists of a web tier and application tier that will utilize Amazon DynamoDB for storage when creating the CloudFormation template.

  Which of the following would allow the application instance access to the DynamoDB tables without exposing API credentials?

  A. Create an Identity and Access Management Role that has the required permissions to read and write from the required DynamoDB table and associate the Role to the application instances by referencing an instance profile.
  B. Use the Parameter section in the Cloud Formation template to nave the user input Access and Secret Keys from an already created IAM user that has me permissions required to read and write from the required DynamoDB table.
  C. Create an Identity and Access Management Role that has the required permissions to read and write from the required DynamoDB table and reference the Role in the instance profile property of the application instance.
  D. Create an identity and Access Management user in the CloudFormation template that has permissions to read and write from the required DynamoDB table, use the GetAtt function to retrieve the Access and secret keys and pass them to the application instance through user-data.
  C. Create an Identity and Access Management Role that has the required permissions to read and write from the required DynamoDB table and reference the Role in the instance profile property of the application instance.

• Question 637:

  A company has a media catalog with metadata for each item in the catalog. Different types of metadata are extracted from the media items by an application running on AWS Lambda. Metadata is extracted according to a number of rules with

  the output stored in an Amazon ElastiCache for Redis cluster. The extraction process is done in batches and takes around 40 minutes to complete.

  The update process is triggered manually whenever the metadata extraction rules change.

  The company wants to reduce the amount of time it takes to extract metadata from its media catalog. To achieve this, a solutions architect has split the single metadata extraction Lambda function into a Lambda function for each type of

  metadata.

  Which additional steps should the solutions architect take to meet the requirements?

  A. Create an AWS Step Functions workflow to run the Lambda functions in parallel. Create another Step Functions workflow that retrieves a list of media items and executes a metadata extraction workflow for each one.
  B. Create an AWS Batch compute environment for each Lambda function. Configure an AWS Batch job queue for the compute environment. Create a Lambda function to retrieve a list of media items and write each item to the job queue.
  C. Create an AWS Step Functions workflow to run the Lambda functions in parallel. Create a Lambda function to retrieve a list of media items and write each item to an Amazon SQS queue. Configure the SQS queue as an input to the Step Functions workflow.
  D. Create a Lambda function to retrieve a list of media items and write each item to an Amazon SQS queue. Subscribe the metadata extraction Lambda functions to the SQS queue with a large batch size.
  C. Create an AWS Step Functions workflow to run the Lambda functions in parallel. Create a Lambda function to retrieve a list of media items and write each item to an Amazon SQS queue. Configure the SQS queue as an input to the Step Functions workflow.

• Question 638:

  You want to use Amazon Redshift and you are planning to deploy dw1.8xlarge nodes. What is the minimum amount of nodes that you need to deploy with this kind of configuration?

  A. 1
  B. 4
  C. 3
  D. 2
  D. 2

• Question 639:

  Company B is launching a new game app for mobile devices. Users will log into the game using their existing social media account to streamline data capture. Company B would like to directly save player data and scoring information from

  the mobile app to a DynamoDS table named Score Data When a user saves their game the progress data will be stored to the Game state S3 bucket.

  What is the best approach for storing data to DynamoDB and S3?

  A. Use an EC2 Instance that is launched with an EC2 role providing access to the Score Data DynamoDB table and the GameState S3 bucket that communicates with the mobile app via web services.
  B. Use temporary security credentials that assume a role providing access to the Score Data DynamoDB table and the Game State S3 bucket using web identity federation.
  C. Use Login with Amazon allowing users to sign in with an Amazon account providing the mobile app with access to the Score Data DynamoDB table and the Game State S3 bucket.
  D. Use an IAM user with access credentials assigned a role providing access to the Score Data DynamoDB table and the Game State S3 bucket for distribution with the mobile app.
  B. Use temporary security credentials that assume a role providing access to the Score Data DynamoDB table and the Game State S3 bucket using web identity federation.

• Question 640:

  In regard to DynamoDB, when you create a table with a hash-and-range key.

  A. You must define one or more Local secondary indexes on that table
  B. You must define one or more Global secondary indexes on that table
  C. You can optionally define one or more secondary indexes on that table
  D. You must define one or more secondary indexes on that table
  C. You can optionally define one or more secondary indexes on that table