Amazon
SAP-C01 Exam
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AWS Certified Solutions Architect - Professional SAP-C01

Amazon (SAP-C01) Exam Questions And Answers page 16

What design should be used to ensure low failover time and easy failback for an ecommerce platform on AWS with multi-tier web application and NoSQL database?

Single Choice

A company is planning on hosting its ecommerce platform on AWS using a multi-tier web application designed for a NoSQL database. The company plans to use the us-west-2 Region as its primary Region. The company wants to ensure that copies of the application and data are available in second Region, us-west-1, for disaster recovery. The company wants to keep the time to fail over as low as possible. Failing back to the primary Region should be possible without administrative interaction after the primary service is restored.

Which design should the solutions architect use?

Use AWS CloudFormation StackSets to create the stacks in both Regions with Auto Scaling groups for the web and application tiers. Asynchronously replicate static content between Regions using Amazon S3 cross-Region replication. Use an Amazon Route 53 DNS failover routing policy to direct users to the secondary site in us-west-1 in the event of an outage. Use Amazon DynamoDB global tables for the database tier.

Use AWS CloudFormation StackSets to create the stacks in both Regions with Auto Scaling groups for the web and application tiers. Asynchronously replicate static content between Regions using Amazon S3 cross-Region replication. Use an Amazon Route 53 DNS failover routing policy to direct users to the secondary site in us-west-1 in the event of an outage Deploy an Amazon Aurora global database for the database tier.

Use AWS Service Catalog to deploy the web and application servers in both Regions Asynchronously replicate static content between the two Regions using Amazon S3 cross-Region replication. Use Amazon Route 53 health checks to identify a primary Region failure and update the public DNS entry listing to the secondary Region in the event of an outage. Use Amazon RDS for MySQL with cross-Region replication for the database tier.

Use AWS CloudFormation StackSets to create the stacks in both Regions using Auto Scaling groups for the web and application tiers. Asynchronously replicate static content between Regions using Amazon S3 cross-Region replication. Use Amazon CloudFront with static files in Amazon S3, and multi-Region origins for the front-end web tier. Use Amazon DynamoDB tables in each Region with scheduled backups to Amazon S3.

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing enterprise-wide scalable operations on AWS

Which application migration strategy optimizes workloads during the migration of lab environments?

Single Choice

A company is planning the migration of several lab environments used for software testing. An assortment of custom tooling is used to manage the test runs for each lab. The labs use immutable infrastructure for the software test runs, and the results are stored in a highly available SQL database cluster. Although completely rewriting the custom tooling is out of scope for the migration project, the company would like to optimize workloads during the migration.

Which application migration strategy meets this requirement?

Re-host

Re-platform

Re-factor/re-architect

Retire

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing enterprise-wide scalable operations on AWS

How to design a cost-effective solution for deploying a business analytics application with 10,000 compute hours and a continuous reporting service?

Single Choice

A company is planning to deploy a new business analytics application that requires 10,000 hours of compute time each month. The compute resources can have flexible availability, but must be as cost-effective as possible. The company will also provide a reporting service to distribute analytics reports, which needs to run at all times.

How should the Solutions Architect design a solution that meets these requirements?

Deploy the reporting service on a Spot Fleet. Deploy the analytics application as a container in Amazon ECS with AWS Fargate as the compute option. Set the analytics application to use a custom metric with Service Auto Scaling.

Deploy the reporting service on an On-Demand Instance. Deploy the analytics application as a container in AWS Batch with AWS Fargate as the compute option. Set the analytics application to use a custom metric with Service Auto Scaling.

Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on a Spot Fleet. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the Spot Fleet.

Deploy the reporting service as a container in Amazon ECS with AWS Fargate as the compute option. Deploy the analytics application on an On-Demand Instance and purchase a Reserved Instance with a 3-year term. Set the analytics application to use a custom metric with Amazon EC2 Auto Scaling applied to the On-Demand Instance.

Designing highly available, cost-efficient, fault-tolerant, scalable systems Implementing cost control strategies

How to design a cost-effective solution for a business analytics application with high compute time requirements?

Single Choice

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing enterprise-wide scalable operations on AWS

What AWS services can be used to minimize work and time for migrating an application from on-premises to AWS?

Single Choice

A company is planning to migrate an application from on-premises to AWS. The application currently uses an Oracle database and the company can tolerate a brief downtime of 1 hour when performing the switch to the new infrastructure. As part of the migration, the database engine will be changed to MySQL. A Solutions Architect needs to determine which AWS services can be used to perform the migration while minimizing the amount of work and time required.

Which of the following will meet the requirements?

Use AWS SCT to generate the schema scripts and apply them on the target prior to migration. Use AWS DMS to analyze the current schema and provide a recommendation for the optimal database engine. Then, use AWS DMS to migrate to the recommended engine. Use AWS SCT to identify what embedded SQL code in the application can be converted and what has to be done manually.

Use AWS SCT to generate the schema scripts and apply them on the target prior to migration. Use AWS DMS to begin moving data from the on-premises database to AWS. After the initial copy, continue to use AWS DMS to keep the databases in sync until cutting over to the new database. Use AWS SCT to identify what embedded SQL code in the application can be converted and what has to be done manually.

Use AWS DMS to help identify the best target deployment between installing the database engine on Amazon EC2 directly or moving to Amazon RDS. Then, use AWS DMS to migrate to the platform. Use AWS Application Discovery Service to identify what embedded SQL code in the application can be converted and what has to be done manually.

Use AWS DMS to begin moving data from the on-premises database to AWS. After the initial copy, continue to use AWS DMS to keep the databases in sync until cutting over to the new database. Use AWS Application Discovery Service to identify what embedded SQL code in the application can be converted and what has to be done manually.

Migrating complex, multi-tier applications on AWS Designing enterprise-wide scalable operations on AWS

How can a solutions architect optimize the performance of an existing HPE cluster when migrating to AWS?

Multiple Choice

A company is planning to migrate an existing high performance computing (HPE) solution to the AWS Cloud. The existing solution consists of a 12-node cluster running Linux with high speed interconnectivity developed on a single rack. A solutions architect needs to optimize the performance of the HPE cluster.

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

Deploy instances across at least three Availability Zones.

Deploy Amazon EC2 instances in a placement group.

Use Amazon EC2 instances that support Elastic Fabric Adapter (EFA).

Use Amazon EC2 instances that support burstable performance.

Enable CPU hyperthreading.

Designing highly available, cost-efficient, fault-tolerant, scalable systems Migrating complex, multi-tier applications on AWS

What actions should be taken to make a web service fault tolerant across multiple AWS Regions?

Single Choice

A company is refactoring an existing web service that provides read and write access to structured data. The service must respond to short but significant spikes in the system load. The service must be fault tolerant across multiple AWS Regions.

Which actions should be taken to meet these requirements?

Store the data in Amazon DocumentDB. Create a single global Amazon CloudFront distribution with a custom origin built on edge-optimized Amazon API Gateway and AWS Lambda. Assign the company s domain as an alternate domain for the distribution, and configure Amazon Route 53 with an alias to the CloudFront distribution.

Store the data in replicated Amazon S3 buckets in two Regions. Create an Amazon CloudFront distribution in each Region, with custom origins built on Amazon API Gateway and AWS Lambda launched in each Region. Assign the company s domain as an alternate domain for both distributions, and configure Amazon Route 53 with a failover routing policy between them.

Store the data in an Amazon DynamoDB global table in two Regions using on-demand capacity mode. In both Regions, run the web service as Amazon ECS Fargate tasks in an Auto Scaling ECS service behind an Application Load Balancer (ALB). In Amazon Route 53, configure an alias record in the company s domain and a Route 53 latency-based routing policy with health checks to distribute traffic between the two ALBs.

Store the data in Amazon Aurora global databases. Add Auto Scaling replicas to both Regions. Run the web service on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer in each Region. Configure the instances to download the web service code in the user data. In Amazon Route 53, configure an alias record for the company s domain and a multi-value routing policy

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing enterprise-wide scalable operations on AWS

How can the performance issues in a scenario involving batch analysis, RDS MySQL, Redshift, and an on-premises system be optimized and automated?

Single Choice

A company is running a batch analysis every hour on their main transactional DB, running on an RDS MySQL instance, to populate their central Data Warehouse running on Redshift. During the execution of the batch, their transactional applications are very slow. When the batch completes they need to update the top management dashboard with the new data. The dashboard is produced by another system running on-premises that is currently started when a manually-sent email notifies that an update is required. The on-premises system cannot be modified because is managed by another team.

How would you optimize this scenario to solve performance issues and automate the process as much as possible?

Replace RDS with Redshift for the batch analysis and SNS to notify the on-premises system to update the dashboard

Replace RDS with Redshift for the oaten analysis and SQS to send a message to the on-premises system to update the dashboard

Create an RDS Read Replica for the batch analysis and SNS to notify me on-premises system to update the dashboard

Create an RDS Read Replica for the batch analysis and SQS to send a message to the on-premises system to update the dashboard.

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing enterprise-wide scalable operations on AWS

What is the most cost-effective solution for the company to manage their Hadoop cluster and BI tool?

Single Choice

A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.

The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to move to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.

Which option will meet the company s requirements?

Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. Then use Amazon QuickSight to connect to Amazon EMR and perform the visualization.

Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze the files in Amazon S3. Then use a fast in-memory BI tool running on Amazon EC2 to visualize the data.

Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.

Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper BI tool that runs on Amazon EC2 to visualize the data from Amazon S3.

Implementing cost control strategies Designing for security and compliance

Which solution meets the requirements of inspecting and deleting new image tags with Critical or High severity findings in Amazon ECR?

Single Choice

A company is running a containerized application in the AWS Cloud. The application is running by using Amazon Elastic Container Service (Amazon ECS) on a set of Amazon EC2 instances. The EC2 instances run in an Auto Scaling group.

The company uses Amazon Elastic Container Registry (Amazon ECR) to store its container images. When a new image version is uploaded, the new image version receives a unique tag.

The company needs a solution that inspects new image versions for common vulnerabilities and exposures. The solution must automatically delete new image tags that have Critical or High severity findings. The solution also must notify the development team when such a deletion occurs.

Which solution meets these requirements?

Configure scan on push on the repository. Use Amazon EventBridge (Amazon CloudWatch Events) to invoke an AWS Step Functions state machine when a scan is complete for images that have Critical or High severity findings. Use the Step Functions state machine to delete the image tag for those images and to notify the development team through Amazon Simple Notification Service (Amazon SNS).

Configure scan on push on the repository. Configure scan results to be pushed to an Amazon Simple Queue Service (Amazon SQS) queue. Invoke an AWS Lambda function when a new message is added to the SQS queue. Use the Lambda function to delete the image tag for images that have Critical or High severity findings. Notify the development team by using Amazon Simple Email Service (Amazon SES).

Schedule an AWS Lambda function to start a manual image scan every hour. Configure Amazon EventBridge (Amazon CloudWatch Events) to invoke another Lambda function when a scan is complete. Use the second Lambda function to delete the image tag for images that have Critical or High severity findings. Notify the development team by using Amazon Simple Notification Service (Amazon SNS).

Configure periodic image scan on the repository. Configure scan results to be added to an Amazon Simple Queue Service (Amazon SQS) queue. Invoke an AWS Step Functions state machine when a new message is added to the SQS queue. Use the Step Functions state machine to delete the image tag for images that have Critical or High severity findings. Notify the development team by using Amazon Simple Email Service (Amazon SES).

Designing highly available, cost-efficient, fault-tolerant, scalable systems Designing for security and compliance

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Amazon (SAP-C01) Exam Questions And Answers page 16

What design should be used to ensure low failover time and easy failback for an ecommerce platform on AWS with multi-tier web application and NoSQL database?

Comments

Which application migration strategy optimizes workloads during the migration of lab environments?

Correct Answer:

References:

Comments

How to design a cost-effective solution for deploying a business analytics application with 10,000 compute hours and a continuous reporting service?

Comments

How to design a cost-effective solution for a business analytics application with high compute time requirements?

Comments

What AWS services can be used to minimize work and time for migrating an application from on-premises to AWS?

Comments

How can a solutions architect optimize the performance of an existing HPE cluster when migrating to AWS?

Comments

What actions should be taken to make a web service fault tolerant across multiple AWS Regions?

Comments

How can the performance issues in a scenario involving batch analysis, RDS MySQL, Redshift, and an on-premises system be optimized and automated?

Comments

What is the most cost-effective solution for the company to manage their Hadoop cluster and BI tool?

Correct Answer:

Explanation:

References:

Comments

Which solution meets the requirements of inspecting and deleting new image tags with Critical or High severity findings in Amazon ECR?

Correct Answer:

References:

Comments

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