Amazon SAP-C02 Online Practice Questions and Exam Preparation

Amazon SAP-C02 Online Questions & Answers

• Question 381:

  A company has an on-premises website application that provides real estate information for potential renters and buyers. The website uses a Java backend and a NOSQL MongoDB database to store subscriber data.

  The company needs to migrate the entire application to AWS with a similar structure. The application must be deployed for high availability, and the company cannot make changes to the application

  Which solution will meet these requirements?

  A. use an Amazon Aurora DB cluster as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
  B. Use MongoDB on Amazon EC2 instances as the database for the subscriber data. Deploy EC2 instances in an Auto Scaling group in a single Availability Zone for the Java backend application.
  C. Configure Amazon DocumentD3 (with MongoDB compatibility) with appropriately sized instances in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
  D. Configure Amazon DocumentDB (with MongoDB compatibility) in on-demand capacity mode in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.
  C. Configure Amazon DocumentD3 (with MongoDB compatibility) with appropriately sized instances in multiple Availability Zones as the database for the subscriber data. Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application.

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  Explanation

  On-demand capacity mode is the function of Dynamodb.

  https://aws.amazon.com/blogs/news/running-spiky-workloads-and-optimizing-costs-by-more-than-90-using-amazon-dynamodb-on-demand-capacity-mode/ Amazon DocumentDB Elastic Clusters https://aws.amazon.com/blogs/news/

  announcing- amazon-documentdb-elastic-clusters/

  Deploy Amazon EC2 instances in an Auto Scaling group across multiple Availability Zones for the Java backend application. This will provide high availability and scalability, while allowing the company to retain the same database structure

  as the original application.

• Question 382:

  A solutions architect must create a business case for migration of a company's on- premises data center to the AWS Cloud. The solutions architect will use a configuration management database (CMDB) export of all the company's servers to create the case.

  Which solution will meet these requirements MOST cost-effectively?

  A. Use AWS Well-Architected Tool to import the CMDB data to perform an analysis and generate recommendations.
  B. Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.
  C. Implement resource matching rules. Use the CMDB export and the AWS Price List Bulk API to query CMDB data against AWS services in bulk.
  D. Use AWS Application Discovery Service to import the CMDB data to perform an analysis.
  B. Use Migration Evaluator to perform an analysis. Use the data import template to upload the data from the CMDB export.

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  Explanation

  https://aws.amazon.com/blogs/architecture/accelerating-your-migration-to-aws/ Build a business case with AWS Migration Evaluator The foundation for a successful migration starts with a defined business objective (for example, growth or new offerings). In order to enable the business drivers, the established business case must then be aligned to a technical capability (increased security and elasticity). AWS Migration Evaluator (formerly known as TSO Logic) can help you meet these objectives. To get started, you can choose to upload exports from third-party tools such as Configuration Management Database (CMDB) or install a collector agent to monitor. You will receive an assessment after data collection, which includes a projected cost estimate and savings of running your on- premises workloads in the AWS Cloud. This estimate will provide a summary of the projected costs to re-host on AWS based on usage patterns. It will show the breakdown of costs by infrastructure and software licenses. With this information, you can make the business case and plan next steps.

• Question 383:

  A company needs to run large batch-processing jobs on data that is stored in an Amazon S3 bucket. The jobs perform simulations. The results of the jobs are not time sensitive, and the process can withstand interruptions.

  Each job must process 15-20 GB of data when the data is stored in the S3 bucket. The company will store the output from the jobs in a different Amazon S3 bucket for further analysis.

  Which solution will meet these requirements MOST cost-effectively?

  A. Create a serverless data pipeline. Use AWS Step Functions for orchestration. Use AWS Lambda functions with provisioned capacity to process the data.
  B. Create an AWS Batch compute environment that includes Amazon EC2 Spot Instances. Specify the SPOT_CAPACITY_OPTIMIZED allocation strategy.
  C. Create an AWS Batch compute environment that includes Amazon EC2 On-Demand Instances and Spot Instances. Specify the SPOT_CAPACITY_OPTIMIZED allocation strategy for the Spot Instances.
  D. Use Amazon Elastic Kubernetes Service (Amazon EKS) to run the processing jobs. Use managed node groups that contain a combination of Amazon EC2 On-Demand Instances and Spot Instances.
  B. Create an AWS Batch compute environment that includes Amazon EC2 Spot Instances. Specify the SPOT_CAPACITY_OPTIMIZED allocation strategy.

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  Explanation

• Question 384:

  A company wants to migrate its website to AWS. The website uses containers that are deployed in an on-premises, self-managed Kubernetes cluster. All data for the website is stored in an on-premises PostgreSQL database.

  The company has decided to migrate the on-premises Kubernetes cluster to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The EKS cluster will use EKS managed node groups with a static number of nodes. The company will also migrate the on-premises database to an Amazon RDS for PostgreSQL database.

  A solutions architect needs to estimate the total cost of ownership (TCO) for this workload before the migration.

  Which solution will provide the required TCO information?

  A. Request access to Migration Evaluator. Run the Migration Evaluator Collector and import the data. Configure a scenario. Export a Quick Insights report from Migration Evaluator.
  B. Launch AWS Database Migration Service (AWS DMS) for the on-premises database. Generate an assessment report. Create an estimate in AWS Pricing Calculator for the costs of the EKS migration.
  C. Initialize AWS Application Migration Service. Add the on-premises servers as source servers. Launch a test instance. Output a TCO report from Application Migration Service.
  D. Access the AWS Cloud Economics Center webpage to assess the AWS Cloud Value Framework. Create an AWS Cost and Usage report from the Cloud Value Framework.
  A. Request access to Migration Evaluator. Run the Migration Evaluator Collector and import the data. Configure a scenario. Export a Quick Insights report from Migration Evaluator.

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  Explanation

• Question 385:

  A company has an organization in AWS Organizations that includes a separate AWS account for each of the company's departments. Application teams from different departments develop and deploy solutions independently.

  The company wants to reduce compute costs and manage costs appropriately across departments. The company also wants to improve visibility into billing for individual departments. The company does not want to lose operational flexibility when the company selects compute resources.

  Which solution will meet these requirements?

  A. Use AWS Budgets for each department. Use Tag Editor to apply tags to appropriate resources. Purchase EC2 Instance Savings Plans.
  B. Configure AWS Organizations to use consolidated billing. Implement a tagging strategy that identifies departments. Use SCPs to apply tags to appropriate resources. Purchase EC2 Instance Savings Plans.
  C. Configure AWS Organizations to use consolidated billing. Implement a tagging strategy that identifies departments. Use Tag Editor to apply tags to appropriate resources. Purchase Compute Savings Plans.
  D. Use AWS Budgets for each department. Use SCPs to apply tags to appropriate resources. Purchase Compute Savings Plans.
  C. Configure AWS Organizations to use consolidated billing. Implement a tagging strategy that identifies departments. Use Tag Editor to apply tags to appropriate resources. Purchase Compute Savings Plans.

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  Explanation

• Question 386:

  A company has a critical application in which the data tier is deployed in a single AWS Region. The data tier uses an Amazon DynamoDB table and an Amazon Aurora MySQL DB cluster. The current Aurora MySQL engine version supports a global database. The application tier is already deployed in two Regions.

  Company policy states that critical applications must have application tier components and data tier components deployed across two Regions. The RTO and RPO must be no more than a few minutes each. A solutions architect must recommend a solution to make the data tier compliant with company policy.

  Which combination of steps will meet these requirements? (Choose two.)

  A. Add another Region to the Aurora MySQL DB cluster
  B. Add another Region to each table in the Aurora MySQL DB cluster
  C. Set up scheduled cross-Region backups for the DynamoDB table and the Aurora MySQL DB cluster
  D. Convert the existing DynamoDB table to a global table by adding another Region to its configuration
  E. Use Amazon Route 53 Application Recovery Controller to automate database backup and recovery to the secondary Region
  A. Add another Region to the Aurora MySQL DB cluster
  D. Convert the existing DynamoDB table to a global table by adding another Region to its configuration

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  Explanation

  The company should use Amazon Aurora global database and Amazon DynamoDB global table to deploy the data tier components across two Regions. Amazon Aurora global database is a feature that allows a single Aurora database to

  span multiple AWS Regions, enabling low-latency global reads and fast recovery from Region-wide outages1. Amazon DynamoDB global table is a feature that allows a single DynamoDB table to span multiple AWS Regions, enabling low-

  latency global reads and writes and fast recovery from Region- wide outages2.

  References:

  https://aws.amazon.com/rds/aurora/global-database/

  https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/globaltables_HowItWorks.html

  https://aws.amazon.com/route53/application-recovery-controller/

• Question 387:

  A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days

  The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day

  Which solution meets these requirements?

  A. Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data
  B. Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data
  C. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data
  D. Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data
  C. Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data

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  Explanation

  AWS DataSync can be used to transfer the sequencing data to Amazon S3, which is a more efficient and faster method than using Snowball Edge devices. Once the data is in S3, S3 events can trigger an AWS Lambda function that starts an AWS Step Functions workflow. The Docker images can be stored in Amazon Elastic Container Registry (Amazon ECR) and AWS Batch can be used to run the container and process the sequencing data.

• Question 388:

  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.
  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.

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  Explanation

  https://medium.com/@it.melnichenko/invoke-a-lambda-across-multiple-aws-accounts-8c094b2e70be

• Question 389:

  A company runs a software-as-a-service (SaaS ) application on AWS. The application comets of AWS Lambda function and an Amazon RDS for MySQL Multi-AZ database During market events the application has a much higher workload than normal Users notice slow response times during the peak periods because of many database connections. The company needs to improve the scalable performance and availability of the database.

  Which solution meets these requirements?

  A. Create an Amazon CloudWatch alarm action that triggers a Lambda function to add an Amazon RDS for MySQL read replica when resource utilization hits a threshold.
  B. Migrate the database to Amazon Aurora and add a read replica Add a database connection pool outside of the Lambda hardier function.
  C. Migrate the database to Amazon Aurora and add a read replica. Use Amazon Route 53 weighted records
  D. Migrate the database to Amazon Aurora and add an Aurora Replica. Configure Amazon RDS Proxy to manage database connection pools.
  D. Migrate the database to Amazon Aurora and add an Aurora Replica. Configure Amazon RDS Proxy to manage database connection pools.

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  Explanation

• Question 390:

  A company's solution architect is designing a diasaster recovery (DR) solution for an application that runs on AWS. The application uses PostgreSQL 11.7 as its database. The company has an PRO of 30 seconds. The solutions architect must design a DR solution with the primary database in the us-east-1 Region and the database in the us-west-2 Region.

  What should the solution architect do to meet these requirements with minimum application change?

  A. Migrate the database to Amazon RDS for PostgreSQL in us-east-1. Set up a read replica up a read replica in us-west-2. Set the managed PRO for the RDS database to 30 seconds.
  B. Migrate the database to Amazon for PostgreSQL in us-east-1. Set up a standby replica in an Availability Zone in us-west-2, Set the managed PRO for the RDS database to 30 seconds.
  C. Migrate the database to an Amazon Aurora PostgreSQL global database with the primary Region as us-east-1 and the secondary Region as us-west-2. Set the managed PRO for the Aurora database to 30 seconds.
  D. Migrate the database to Amazon DynamoDB in us-east-1. Set up global tables with replica tables that are created in us-west-2.
  A. Migrate the database to Amazon RDS for PostgreSQL in us-east-1. Set up a read replica up a read replica in us-west-2. Set the managed PRO for the RDS database to 30 seconds.

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  Explanation