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Amazon SAP-C01 Practice Test - Questions Answers, Page 61

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Question 601

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Dave is the main administrator in Example Corp., and he decides to use paths to help delineate the users in the company and set up a separate administrator group for each path-based division. Following is a subset of the full list of paths he plans to use:

• /marketing

• /sales

• /legal

Dave creates an administrator group for the marketing part of the company and calls it Marketing_Admin. He assigns it the /marketing path. The group's ARN is arn:aws:iam::123456789012:group/marketing/Marketing_Admin. Dave assigns the following policy to the Marketing_Admin group that gives the group permission to use all IAM actions with all groups and users in the /marketing path. The policy also gives the Marketing_Admin group permission to perform any AWS S3 actions on the objects in the portion of the corporate bucket.

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Deny",

"Action": "iam:*",

"Resource": [

"arn:aws:iam::123456789012:group/marketing/*",

"arn:aws:iam::123456789012:user/marketing/*"

]

},

{

"Effect": "Allow",

"Action": "s3:*",

"Resource": "arn:aws:s3:::example_bucket/marketing/*"

},

{

"Effect": "Allow",

"Action": "s3:ListBucket*",

"Resource": "arn:aws:s3:::example_bucket",

"Condition":{"StringLike":{"s3:prefix": "marketing/*"}}

}

]

}

True
True
False
False
Suggested answer: B

Explanation:

Effect Deny

asked 16/09/2024
Brandon O'Driscoll
34 questions

Question 602

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A company is manually deploying its application to production and wants to move to a more mature deployment pattern. The company has asked a solutions architect to design a solution that leverages its current Chef tools and knowledge. The application must be deployed to a staging environment for testing and verification before being deployed to production. Any new deployment must be rolled back in 5 minutes if errors are discovered after a deployment. Which AWS service and deployment pattern should the solutions architect use to meet these requirements?

Use AWS Elastic Beanstalk and deploy the application using a rolling update deployment strategy.
Use AWS Elastic Beanstalk and deploy the application using a rolling update deployment strategy.
Use AWS CodePipeline and deploy the application using a rolling update deployment strategy.
Use AWS CodePipeline and deploy the application using a rolling update deployment strategy.
Use AWS CodeBuild and deploy the application using a canary deployment strategy.
Use AWS CodeBuild and deploy the application using a canary deployment strategy.
Use AWS OpsWorks and deploy the application using a blue/green deployment strategy.
Use AWS OpsWorks and deploy the application using a blue/green deployment strategy.
Suggested answer: A
asked 16/09/2024
Elvis WANDJI NGASSA
43 questions

Question 603

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A company runs a public-facing application that uses a Java-based web service via a RESTful API. It is hosted on Apache Tomcat on a single server in a data center that runs consistently at 30% CPU utilization. Use of the API is expected to increase by 10 times with a new product launch. The business wants to migrate the application to AWS with no disruption, and needs it to scale to meet demand. The company has already decided to use Amazon Route 53 and CNAME records to redirect traffic. How can these requirements be met with the LEAST amount of effort?

Use AWS Elastic Beanstalk to deploy the Java web service and enable Auto Scaling. Then switch the application to use the new web service.
Use AWS Elastic Beanstalk to deploy the Java web service and enable Auto Scaling. Then switch the application to use the new web service.
Lift and shift the Apache server to the cloud using AWS SMS. Then switch the application to direct web service traffic to the new instance.
Lift and shift the Apache server to the cloud using AWS SMS. Then switch the application to direct web service traffic to the new instance.
Create a Docker image and migrate the image to Amazon ECS. Then change the application code to direct web service queries to the ECS container.
Create a Docker image and migrate the image to Amazon ECS. Then change the application code to direct web service queries to the ECS container.
Modify the application to call the web service via Amazon API Gateway. Then create a new AWS Lambda Java function to run the Java web service code. After testing, change API Gateway to use the Lambda function.
Modify the application to call the web service via Amazon API Gateway. Then create a new AWS Lambda Java function to run the Java web service code. After testing, change API Gateway to use the Lambda function.
Suggested answer: D
asked 16/09/2024
Amir Arefi
35 questions

Question 604

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A company wants to refactor its retail ordering web application that currently has a load-balanced Amazon EC2 instance fleet for web hosting, database API services, and business logic. The company needs to create a decoupled, scalable architecture with a mechanism for retaining failed orders while also minimizing operational costs.

Which solution will meet these requirements?

Use Amazon S3 for web hosting with Amazon API Gateway for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use Amazon Elastic Container Service (Amazon ECS) for business logic with Amazon SQS long polling for retaining failed orders.
Use Amazon S3 for web hosting with Amazon API Gateway for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use Amazon Elastic Container Service (Amazon ECS) for business logic with Amazon SQS long polling for retaining failed orders.
Use AWS Elastic Beanstalk for web hosting with Amazon API Gateway for database API services. Use Amazon MQ for order queuing. Use AWS Step Functions for business logic with Amazon S3 Glacier Deep Archive for retaining failed orders.
Use AWS Elastic Beanstalk for web hosting with Amazon API Gateway for database API services. Use Amazon MQ for order queuing. Use AWS Step Functions for business logic with Amazon S3 Glacier Deep Archive for retaining failed orders.
Use Amazon S3 for web hosting with AWS AppSync for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use AWS Lambda for business logic with an Amazon SQS dead-letter queue for retaining failed orders.
Use Amazon S3 for web hosting with AWS AppSync for database API services. Use Amazon Simple Queue Service (Amazon SQS) for order queuing. Use AWS Lambda for business logic with an Amazon SQS dead-letter queue for retaining failed orders.
Use Amazon Lightsail for web hosting with AWS AppSync for database API services. Use Amazon Simple Email Service (Amazon SES) for order queuing. Use Amazon Elastic Kubernetes Service (Amazon EKS) for business logic with Amazon Elasticsearch Service (Amazon ES) for retaining failed orders.
Use Amazon Lightsail for web hosting with AWS AppSync for database API services. Use Amazon Simple Email Service (Amazon SES) for order queuing. Use Amazon Elastic Kubernetes Service (Amazon EKS) for business logic with Amazon Elasticsearch Service (Amazon ES) for retaining failed orders.
Suggested answer: C
asked 16/09/2024
Diego Beltran
53 questions

Question 605

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A company needs to cost-effectively persist small data records (up to 1 KiB) for up to 30 days. The data is read rarely. When reading the data, a 5-minute delay is acceptable. Which of the following solutions achieve this goal? (Choose two.)

Use Amazon S3 to collect multiple records in one S3 object. Use a lifecycle configuration to move data to Amazon Glacier immediately after write. Use expedited retrievals when reading the data.
Use Amazon S3 to collect multiple records in one S3 object. Use a lifecycle configuration to move data to Amazon Glacier immediately after write. Use expedited retrievals when reading the data.
Write the records to Amazon Kinesis Data Firehose and configure Kinesis Data Firehose to deliver the data to Amazon S3 after 5 minutes. Set an expiration action at 30 days on the S3 bucket.
Write the records to Amazon Kinesis Data Firehose and configure Kinesis Data Firehose to deliver the data to Amazon S3 after 5 minutes. Set an expiration action at 30 days on the S3 bucket.
Use an AWS Lambda function invoked via Amazon API Gateway to collect data for 5 minutes. Write data to Amazon S3 just before the Lambda execution stops.
Use an AWS Lambda function invoked via Amazon API Gateway to collect data for 5 minutes. Write data to Amazon S3 just before the Lambda execution stops.
Write the records to Amazon DynamoDB configured with a Time To Live (TTL) of 30 days. Read data using the GetItem or BatchGetItem call.
Write the records to Amazon DynamoDB configured with a Time To Live (TTL) of 30 days. Read data using the GetItem or BatchGetItem call.
Write the records to an Amazon ElastiCache for Redis. Configure the Redis append-only file (AOF) persistence logs to write to Amazon S3. Recover from the log if the ElastiCache instance has failed.
Write the records to an Amazon ElastiCache for Redis. Configure the Redis append-only file (AOF) persistence logs to write to Amazon S3. Recover from the log if the ElastiCache instance has failed.
Suggested answer: A, B
asked 16/09/2024
Calvin Bolico
30 questions

Question 606

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Can you configure multiple Load Balancers with a single Auto Scaling group?

No
No
Yes, you can but only if it is configured with Amazon Redshift.
Yes, you can but only if it is configured with Amazon Redshift.
Yes, you can provide the ELB is configured with Amazon AppStream.
Yes, you can provide the ELB is configured with Amazon AppStream.
Yes
Yes
Suggested answer: D

Explanation:

Yes, you can configure more than one load balancer with an autoscaling group. Auto Scaling integrates with Elastic Load Balancing to enable you to attach one or more load balancers to an existing Auto Scaling group. After you attach the load balancer, it automatically registers the instances in the group and distributes incoming traffic across the instances.

Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AS_Concepts.html

asked 16/09/2024
MYKEL PERRY
38 questions

Question 607

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A Solutions Architect needs to design a highly available application that will allow authenticated users to stay connected to the application even when there are underlying failures. Which solution will meet these requirements?

Deploy the application on Amazon EC2 instances. Use Amazon Route 53 to forward requests to the EC2 instances. Use Amazon DynamoDB to save the authenticated connection details.
Deploy the application on Amazon EC2 instances. Use Amazon Route 53 to forward requests to the EC2 instances. Use Amazon DynamoDB to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer to handle requests. Use Amazon DynamoDB to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer to handle requests. Use Amazon DynamoDB to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer on the front end. Use EC2 instances to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer on the front end. Use EC2 instances to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer on the front end. Use EC2 instances hosting a MySQL database to save the authenticated connection details.
Deploy the application on Amazon EC2 instances in an Auto Scaling group. Use an internet-facing Application Load Balancer on the front end. Use EC2 instances hosting a MySQL database to save the authenticated connection details.
Suggested answer: C
asked 16/09/2024
Josefa Vera Gago
39 questions

Question 608

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A startup company recently migrated a large ecommerce website to AWS. The website has experienced a 70% increase in sales. Software engineers are using a private GitHub repository to manage code. The DevOps team is using Jenkins for builds and unit testing. The engineers need to receive notifications for bad builds and zero downtime during deployments. The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue. The software engineers have decided to use AWS CodePipeline to manage their build and deployment process. Which solution will meet these requirements?

Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an inplace, all-at-once deployment configuration using AWS CodeDeploy.
Use GitHub websockets to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an inplace, all-at-once deployment configuration using AWS CodeDeploy.
Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/ green deployment using AWS CodeDeploy.
Use GitHub webhooks to trigger the CodePipeline pipeline. Use the Jenkins plugin for AWS CodeBuild to conduct unit testing. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/ green deployment using AWS CodeDeploy.
Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy.
Use GitHub websockets to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in a blue/green deployment using AWS CodeDeploy.
Use GitHub webhooks to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place, all-atonce deployment configuration using AWS CodeDeploy.
Use GitHub webhooks to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any bad builds. Deploy in an in-place, all-atonce deployment configuration using AWS CodeDeploy.
Suggested answer: B
asked 16/09/2024
DAVIDE MCGARR
37 questions

Question 609

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Identify a benefit of using Auto Scaling for your application.

Your application gains better fault tolerance.
Your application gains better fault tolerance.
Your application optimizes only logistics and operations.
Your application optimizes only logistics and operations.
Your application receives latency requirements in every region.
Your application receives latency requirements in every region.
You acquire clarity on prototypes in your application.
You acquire clarity on prototypes in your application.
Suggested answer: A

Explanation:

When you use Auto Scaling, your applications gain better fault tolerance. Auto Scaling can detect when an instance is unhealthy, terminate it, and launch an instance to replace it. You can also configure Auto Scaling to use multiple Availability Zones. If one Availability Zone becomes unavailable, Auto Scaling can launch instances in another one to compensate.

Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/how-as-works.html

asked 16/09/2024
Myratgeldi Bekdurdyyev
46 questions

Question 610

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A three-tier web application runs on Amazon EC2 instances. Cron daemons are used to trigger scripts that collect the web server, application, and database logs and send them to a centralized location every hour. Occasionally, scaling events or unplanned outages have caused the instances to stop before the latest logs were collected, and the log files were lost. Which of the following options is the MOST reliable way of collecting and preserving the log files?

Update the cron jobs to run every 5 minutes instead of every hour to reduce the possibility of log messages being lost in an outage.
Update the cron jobs to run every 5 minutes instead of every hour to reduce the possibility of log messages being lost in an outage.
Use Amazon CloudWatch Events to trigger Amazon Systems Manager Run Command to invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
Use Amazon CloudWatch Events to trigger Amazon Systems Manager Run Command to invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
Use the Amazon CloudWatch Logs agent to stream log messages directly to CloudWatch Logs. Configure the agent with a batch count of 1 to reduce the possibility of log messages being lost in an outage.
Use the Amazon CloudWatch Logs agent to stream log messages directly to CloudWatch Logs. Configure the agent with a batch count of 1 to reduce the possibility of log messages being lost in an outage.
Use Amazon CloudWatch Events to trigger AWS Lambda to SSH into each running instance and invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
Use Amazon CloudWatch Events to trigger AWS Lambda to SSH into each running instance and invoke the log collection scripts more frequently to reduce the possibility of log messages being lost in an outage.
Suggested answer: C

Explanation:

Reference: https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AgentReference.html

asked 16/09/2024
Anirban Ganguly
48 questions
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