ExamGecko
Login
Home / Amazon / DOP-C01 / List of questions
Ask Question

Amazon DOP-C01 Practice Test - Questions Answers, Page 30

List of questions

Question 291

Report
Export
Collapse

A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks. Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue. Which combination of actions will meet these requirements? (Choose two.)

Change the Auto Scaling configuration to replace the instances when they fail the load balancer’s health checks.
Change the Auto Scaling configuration to replace the instances when they fail the load balancer’s health checks.
Change the target group health check HealthCheckIntervalSeconds parameter to reduce the interval between health checks.
Change the target group health check HealthCheckIntervalSeconds parameter to reduce the interval between health checks.
Change the target group health checks from HTTP to TCP to check if the port where the application is listening isreachable.
Change the target group health checks from HTTP to TCP to check if the port where the application is listening isreachable.
Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off.
Enable the available memory consumption metric within the Amazon CloudWatch dashboard for the entire Auto Scaling group. Create an alarm when the memory utilization is high. Associate an Amazon SNS topic to the alarm to receive notifications when the alarm goes off.
Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.
Use the Amazon CloudWatch agent to collect the memory utilization of the EC2 instances in the Auto Scaling group. Create an alarm when the memory utilization is high and associate an Amazon SNS topic to receive a notification.
Suggested answer: D, E
asked 16/09/2024
Pawel Lenart
33 questions

Question 292

Report
Export
Collapse

How does Amazon RDS multi Availability Zone model work?

A second, standby database is deployed and maintained in a different availability zone from master, using synchronous replication.
A second, standby database is deployed and maintained in a different availability zone from master, using synchronous replication.
A second, standby database is deployed and maintained in a different availability zone from master using asynchronous replication.
A second, standby database is deployed and maintained in a different availability zone from master using asynchronous replication.
A second, standby database is deployed and maintained in a different region from master using asynchronous replication.
A second, standby database is deployed and maintained in a different region from master using asynchronous replication.
A second, standby database is deployed and maintained in a different region from master using synchronous replication.
A second, standby database is deployed and maintained in a different region from master using synchronous replication.
Suggested answer: A

Explanation:

In a Multi-AZ deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone.

Reference: http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

asked 16/09/2024
Mario Peralta
36 questions

Question 293

Report
Export
Collapse

You have been tasked with deploying a scalable distributed system using AWS OpsWorks. Your distributed system is required to scale on demand. As it is distributed, each node must hold a configuration file that includes the hostnames of the other instances within the layer.

How should you configure AWS OpsWorks to manage scaling this application dynamically?

Create a Chef Recipe to update this configuration file, configure your AWS OpsWorks stack to use custom cookbooks, and assign this recipe to the Configure LifeCycle Event of the specific layer.
Create a Chef Recipe to update this configuration file, configure your AWS OpsWorks stack to use custom cookbooks, and assign this recipe to the Configure LifeCycle Event of the specific layer.
Update this configuration file by writing a script to poll the AWS OpsWorks service API for new instances. Configure your base AMI to execute this script on Operating System startup.
Update this configuration file by writing a script to poll the AWS OpsWorks service API for new instances. Configure your base AMI to execute this script on Operating System startup.
Create a Chef Recipe to update this configuration file, configure your AWS OpsWorks stack to use custom cookbooks, and assign this recipe to execute when instances are launched.
Create a Chef Recipe to update this configuration file, configure your AWS OpsWorks stack to use custom cookbooks, and assign this recipe to execute when instances are launched.
Configure your AWS OpsWorks layer to use the AWS-provided recipe for distributed host configuration, and configure the instance hostname and file path parameters in your recipes settings.
Configure your AWS OpsWorks layer to use the AWS-provided recipe for distributed host configuration, and configure the instance hostname and file path parameters in your recipes settings.
Suggested answer: A
asked 16/09/2024
Russell James
38 questions

Question 294

Report
Export
Collapse

What flag would you use to limit a Docker container's memory usage to 128 megabytes?

-memory 128m
-memory 128m
-m 128m
-m 128m
--memory-reservation 128m
--memory-reservation 128m
-m 128MB
-m 128MB
Suggested answer: B

Explanation:

Docker can enforce hard memory limits, which allow the container to use no more than a given amount of user or system memory, or soft limits, which allow the container to use as much memory as it needs unless certain conditions are met, such as when the kernel detects low memory or contention on the host machine. Some of these options have different effects when used alone or when more than one option is set. Most of these options take a positive integer, followed by a suffix of b, k, m, g, to indicate bytes, kilobytes, megabytes, or gigabytes.

Option -m or --memory=

Description The maximum amount of memory the container can use. If you set this option, the minimum allowed value is 4m (4 megabyte).

Reference: https://docs.docker.com/engine/admin/resource_constraints/#memory

asked 16/09/2024
Alper Atar
43 questions

Question 295

Report
Export
Collapse

You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this customer banking data. It is important not to lose any information due to server failures. What is an elegant way to accomplish this?

Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to AWS CloudWatch Logs, removing sensitive information before logging.
Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to AWS CloudWatch Logs, removing sensitive information before logging.
Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically rotate these log files into S3.
Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically rotate these log files into S3.
Use a DynamoDB StreamSpecification and periodically flush to an EC2 instance store, removing sensitive information before putting the objects. Periodically flush these batches to S3.
Use a DynamoDB StreamSpecification and periodically flush to an EC2 instance store, removing sensitive information before putting the objects. Periodically flush these batches to S3.
Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically pipe these files into CloudWatch Logs.
Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application server, removing sensitive information before logging. Periodically pipe these files into CloudWatch Logs.
Suggested answer: A

Explanation:

All suggested periodic options are sensitive to server failure during or between periodic flushes. Streaming to Lambda and then logging to CloudWatch Logs will make the system resilient to instance and Availability Zone failures.

Reference: http://docs.aws.amazon.com/lambda/latest/dg/with-ddb.html

asked 16/09/2024
ANDREA SIMONELLI
37 questions

Question 296

Report
Export
Collapse

A developer is building an application that must allow users to upload images to an Amazon S3 bucket. Users need to be able to sign in to the application using Facebook to upload images. How can these requirements be met?

Store a user’s Facebook user name and password in an Amazon DymanoDB table. Authenticate against those credentials the next time the user tries to log in.
Store a user’s Facebook user name and password in an Amazon DymanoDB table. Authenticate against those credentials the next time the user tries to log in.
Create an Amazon Cognito identity pool using Facebook as the identity provider. Obtain temporary AWS credentials so a user can access Amazon S3.
Create an Amazon Cognito identity pool using Facebook as the identity provider. Obtain temporary AWS credentials so a user can access Amazon S3.
Create multiple AWS IAM users. Set the email and password to be the same as each user’s Facebook login credentials.
Create multiple AWS IAM users. Set the email and password to be the same as each user’s Facebook login credentials.
Create a new Facebook account and store its login credentials in an S3 bucket. Share that S3 bucket with a user. The user will log in to the application using those retrieved credentials.
Create a new Facebook account and store its login credentials in an S3 bucket. Share that S3 bucket with a user. The user will log in to the application using those retrieved credentials.
Suggested answer: B

Explanation:

Reference: https://aws.amazon.com/blogs/mobile/store-your-photos-in-the-cloud-using-amazon-s3/

asked 16/09/2024
Ahmed Khan
47 questions

Question 297

Report
Export
Collapse

A DevOps Engineer is reviewing a system that uses Amazon EC2 instances in an Auto Scaling group. This system uses a configuration management tool that runs locally on each EC2 instance. Because of the volatility of the application load, new instances must be fully functional within 3 minutes of entering a running state. Current setup tasks include:

Installing the configuration management agent – 2 minutes

Installing the application framework – 15 minutes

Copying configuration data from Amazon S3 – 2 minutes

Running the configuration management agent to configure instances – 1 minute Deploying the application code from Amazon S3 – 2 minutes How should the Engineer set up the system so it meets the launch time requirement?

Trigger an AWS Lambda function from an Amazon CloudWatch Events rule when a new EC2 instance launches. Have the function install the configuration management agent and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Trigger an AWS Lambda function from an Amazon CloudWatch Events rule when a new EC2 instance launches. Have the function install the configuration management agent and the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Write a bootstrap script to install the configuration management agent, install the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Write a bootstrap script to install the configuration management agent, install the application framework, pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Build a custom AMI that includes the configuration management agent and application framework. Write a bootstrap script to pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Build a custom AMI that includes the configuration management agent and application framework. Write a bootstrap script to pull configuration data from Amazon S3, run the agent to configure the instance, and deploy the application from S3.
Build a custom AMI that includes the configuration management agent, application framework, and configuration data. Write a bootstrap script to run the agent to configure the instance and deploy the application from Amazon S3.
Build a custom AMI that includes the configuration management agent, application framework, and configuration data. Write a bootstrap script to run the agent to configure the instance and deploy the application from Amazon S3.
Suggested answer: B
asked 16/09/2024
Ghalem benhameurlaine
31 questions

Question 298

Report
Export
Collapse

A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.

Which solution will meet these requirements?

Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
Create an Amazon CloudWatch alarm for the StatusCheckFailed metric. Use the recover action to stop and start the instance. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.
Configure AWS OpsWorks, and use the auto healing feature to stop and start the instance. Use a lifecycle event in OpsWorks to pull the metadata from Amazon S3 and update it on the instance.
Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
Use EC2 Auto Recovery to automatically stop and start the instance in case of a failure. Use an S3 event notification to push the metadata to the instance when the instance is back up and running.
Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
Use AWS CloudFormation to create an EC2 instance that includes the UserData property for the EC2 resource. Add a command in UserData to retrieve the application metadata from Amazon S3.
Suggested answer: B

Explanation:

Reference: https://aws.amazon.com/premiumsupport/knowledge-center/opsworks-unexpected-start-instance/

asked 16/09/2024
Harieswaran Ramesh
37 questions

Question 299

Report
Export
Collapse

Your CTO has asked you to make sure that you know what all users of your AWS account are doing to change resources at all times. She wants a report of who is doing what over time, reported to her once per week, for as broad a resource type group as possible. How should you do this?

Create a global AWS CloudTrail Trail. Configure a script to aggregate the log data delivered to S3 once per week and deliver this to the CTO.
Create a global AWS CloudTrail Trail. Configure a script to aggregate the log data delivered to S3 once per week and deliver this to the CTO.
Use CloudWatch Events Rules with an SNS topic subscribed to all AWS API calls. Subscribe the CTO to an email type delivery on this SNS Topic.
Use CloudWatch Events Rules with an SNS topic subscribed to all AWS API calls. Subscribe the CTO to an email type delivery on this SNS Topic.
Use AWS IAM credential reports to deliver a CSV of all uses of IAM User Tokens over time to the CTO.
Use AWS IAM credential reports to deliver a CSV of all uses of IAM User Tokens over time to the CTO.
Use AWS Config with an SNS subscription on a Lambda, and insert these changes over time into a DynamoDB table. Generate reports based on the contents of this table.
Use AWS Config with an SNS subscription on a Lambda, and insert these changes over time into a DynamoDB table. Generate reports based on the contents of this table.
Suggested answer: A

Explanation:

This is the ideal use case for AWS CloudTrail. CloudTrail provides visibility into user activity by recording API calls made on your account. CloudTrail records important information about each API call, including the name of the API, the identity of the caller, the time of the API call, the request parameters, and the response elements returned by the AWS service. This information helps you to track changes made to your AWS resources and to troubleshoot operational issues. CloudTrail makes it easier to ensure compliance with internal policies and regulatory standards.

Reference:

https://aws.amazon.com/cloudtrail/faqs/

asked 16/09/2024
Aviv Beck
41 questions

Question 300

Report
Export
Collapse

During metric analysis, your team has determined that the company's website is experiencing response times during peak hours that are higher than anticipated. You currently rely on Auto Scaling to make sure that you are scaling your environment during peak windows. How can you improve your Auto Scaling policy to reduce this high response time? (Choose two.)

Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have better fine-grain insight.
Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have better fine-grain insight.
Increase your Auto Scaling group's number of max servers.
Increase your Auto Scaling group's number of max servers.
Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
Create a script that runs and monitors your servers; when it detects an anomaly in load, it posts to an Amazon SNS topic that triggers Elastic Load Balancing to add more servers to the load balancer.
Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.
Push custom metrics to CloudWatch for your application that include more detailed information about your web application, such as how many requests it is handling and how many are waiting to be processed.
Update the CloudWatch metric used for your Auto Scaling policy, and enable sub-minute granularity to allow auto scaling to trigger faster.
Update the CloudWatch metric used for your Auto Scaling policy, and enable sub-minute granularity to allow auto scaling to trigger faster.
Suggested answer: B, D
asked 16/09/2024
Volkan Ozsoy
34 questions
Total 557 questions
Go to page: of 56
Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

A company has a web application that uses AWS Elastic Beanstalk, Amazon S3, and Amazon DynamoDB to develop a web application. The web application has increased dramatically in popularity, resulting in unpredictable spikes in traffic. A DevOps Engineer has noted that 90% of the requests are duplicate read requests to the DynamoDB table and the images stored in an S3 bucket. How can the Engineer improve the performance of the website?
After a daily scrum with your development teams, you've agreed that using Blue/Green style deployments would benefit the team. Which technique should you use to deliver this new requirement?
A company uses a series of individual Amazon CloudFormation templates to deploy its multi-Region applications. These templates must be deployed in a specific order. The company is making more changes to the templates than previously expected and wants to deploy new templates more efficiently. Additionally, the data engineering team must be notified of all changes to the templates. What should the company do to accomplish these goals?
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight. The team noted that the policy used for AWS Auto Scaling is NetworkOut. Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically. Following AWS recommendations, how should this automation be implemented?
An application running on a set of Amazon EC2 instances in an Auto Scaling group requires a configuration file to operate. The instances are created and maintained with AWS CloudFormation. A DevOps engineer wants the instances to have the latest configuration file when launched, and wants changes to the configuration file to be reflected on all the instances with a minimal delay when the CloudFormation template is updated. Company policy requires that application configuration files be maintained along with AWS infrastructure configuration files in source control. Which solution will accomplish this?
A company has built a web service that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The company has deployed the application in us-east-1. Amazon Route 53 provides an external DNS that routes traffic from example.com to the application, created with appropriate health checks. The company has deployed a second environment for the application in eu-west-1. The company wants traffic to be routed to whichever environment results in the best response time for each user. If there is an outage in one Region, traffic should be directed to the other environment. Which configuration will achieve these requirements?
An application has microservices spread across different AWS accounts and is integrated with an on-premises legacy system for some of its functionality. Because of the segmented architecture and missing logs, every time the application experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must fix the log aggregation process and provide a way to centrally analyze the logs. Which is the MOST efficient and cost-effective solution?
An Application team is refactoring one of its internal tools to run in AWS instead of on-premises hardware. All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried. Which deployment pipeline incurs the LEAST amount of changes between development and production?
A company is implementing an Amazon ECS cluster to run its workload. The company architecture will run multiple ECS services on the cluster, with an Application Load Balancer on the front end, using multiple target groups to route traffic. The Application Development team has been struggling to collect logs that must be collected and sent to an Amazon S3 bucket for near-real time analysis What must the DevOps Engineer configure in the deployment to meet these requirements? (Choose three.)
A retail company wants to use AWS Elastic Beanstalk to host its online sales website running on Java. Since this will be the production website, the CTO has the following requirements for the deployment strategy: Zero downtime. While the deployment is ongoing, the current Amazon EC2 instances in service should remain in service. No deployment or any other action should be performed on the EC2 instances because they serve production traffic. A new fleet of instances should be provisioned for deploying the new application version. Once the new application version is deployed successfully in the new fleet of instances, the new instances should be placed in service and the old ones should be removed. The rollback should be as easy as possible. If the new fleet of instances fail to deploy the new application version, they should be terminated and the current instances should continue serving traffic as normal. The resources within the environment (EC2 Auto Scaling group, Elastic Load Balancing, Elastic Beanstalk DNS CNAME) should remain the same and no DNS change should be made. Which deployment strategy will meet the requirements?