AWS-Certified-DevOps-Engineer-Professional Exam
Finding Renewal AWS-Certified-DevOps-Engineer-Professional testing engine
Ucertify AWS-Certified-DevOps-Engineer-Professional Questions are updated and all AWS-Certified-DevOps-Engineer-Professional answers are verified by experts. Once you have completely prepared with our AWS-Certified-DevOps-Engineer-Professional exam prep kits you will be ready for the real AWS-Certified-DevOps-Engineer-Professional exam without a problem. We have Improve Amazon AWS-Certified-DevOps-Engineer-Professional dumps study guide. PASSED AWS-Certified-DevOps-Engineer-Professional First attempt! Here What I Did.
Q31. You are experiencing performance issues writing to a DynamoDB table. Your system tracks high scores for video games on a marketplace. Your most popular game experiences all of the performance issues. What is the most likely problem?
A. DynamoDB's vector clock is out of sync, because of the rapid growth in request for the most popular game.
B. You selected the Game ID or equivalent identifier as the primary partition key for the table.
C. Users of the most popular video game each perform more read and write requests than average.
D. You did not provision enough read or write throughput to the table.
Answer: B
Explanation:
The primary key selection dramatically affects performance consistency when reading or writing to DynamoDB. By selecting a key that is tied to the identity of the game, you forced DynamoDB to create a hotspot in the table partitions, and over-request against the primary key partition for the popular game. When it stores data, DynamoDB dMdes a tabIe's items into multiple partitions, and distributes the data primarily based upon the partition key value. The provisioned throughput associated with a table is also dMded evenly among the partitions, with no sharing of provisioned throughput across partitions. Reference: http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuideIinesForTabIes.htmI#GuideIi nesForTabIes.UniformWorkIoad
Q32. Your team wants to begin practicing continuous delivery using CIoudFormation, to enable automated builds and deploys of whole, versioned stacks or stack layers. You have a 3-tier, mission-critical system. Which of the following is NOT a best practice for using CIoudFormation in a continuous delivery environment?
A. Use the AWS CIoudFormation <code>VaIidateTempIate</code> call before publishing changes to AWS.
B. ModeI your stack in one template, so you can leverage CIoudFormation's state management and dependency resolution to propagate all changes.
C. Use CIoudFormation to create brand new infrastructure for all stateless resources on each push, and run integration tests on that set of infrastructure.
D. Parametrize the template and use <code>Mappings</code> to ensure your template works in multiple Regions.
Answer: B
Explanation:
Putting all resources in one stack is a bad idea, since different tiers have different life cycles and frequencies of change. For additional guidance about organizing your stacks, you can use two common frameworks: a multi-layered architecture and service-oriented architecture (SOA).
Reference:
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.htmI#organizingstack
Q33. What is the scope of an EC2 EIP?
A. Placement Group
B. Availability Zone
C. Region
D. VPC
Answer: C
Explanation:
An Elastic IP address is tied to a region and can be associated only with an instance in the same region. Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/resources.htmI
Q34. When thinking of DynamoDB, what are true of Local Secondary Key properties?
A. Either the partition key or the sort key can be different from the table, but not both.
B. Only the sort key can be different from the table.
C. The partition key and sort key can be different from the table.
D. Only the partition key can be different from the table.
Answer: B
Explanation:
Global secondary index — an index with a partition key and a sort key that can be different from those on the table. A global secondary index is considered "gIobaI" because queries on the index can span all of the data in a table, across all partitions.
Reference: http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Secondarylndexes.htmI
QUESTION N0: 36
Which deployment method, when using AWS Auto Scaling Groups and Auto Scaling Launch Configurations, enables the shortest time to live for indMdual sewers?
A. Pre-baking AMIs with all code and configuration on deploys.
B. Using a Dockerfile bootstrap on instance launch.
C. Using UserData bootstrapping scripts.
D. Using AWS EC2 Run Commands to dynamically SSH into fileets.
Answer: A
Explanation:
Note that the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fileet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling. Prebaking is a process of embedding a significant portion of your application artifacts within your base AMI. During the deployment process you can customize application installations by using EC2 instance artifacts such as instance tags, instance metadata, and Auto Scaling groups.
Reference: https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf
Q35. You are building a Ruby on Rails application for internal, non-production use which uses IV|ySQL as a database. You want developers without very much AWS experience to be able to deploy new code with a single command line push. You also want to set this up as simply as possible. Which tool is ideal for this setup?
A. AWS CIoudFormation
B. AWS OpsWorks
C. AWS ELB + EC2 with CLI Push
D. AWS Elastic Beanstalk
Answer: D
Explanation:
Elastic BeanstaIk's primary mode of operation exactly supports this use case out of the box. It is simpler than all the other options for this question.
With Elastic Beanstalk, you can quickly deploy and manage applications in the AWS cloud without worrying about the infrastructure that runs those applications. AWS Elastic Beanstalk reduces management complexity without restricting choice or control. You simply upload your application, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.
Reference: http://docs.aws.amazon.com/elasticbeanstaIk/Iatest/dg/create_depIoy_Ruby_raiIs.html
QUESTION N0: 65
What is the scope of AWS IAM?
A. Global
B. Availability Zone
C. Region
D. Placement Group
Answer: A
Explanation:
IAM resources are all global; there is not regional constraint. Reference: https://aws.amazon.com/iam/faqs/
Q36. How does Amazon RDS multi Availability Zone model work?
A. A second, standby database is deployed and maintained in a different availability zone from master, using synchronous replication.
B. A second, standby database is deployed and maintained in a different availability zone from master using asynchronous replication.
C. A second, standby database is deployed and maintained in a different region from master using asynchronous replication.
D. A second, standby database is deployed and maintained in a different region from master using synchronous replication.
Answer: A
Explanation:
In a MuIti-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.Mu|tiAZ.htmI
Q37. There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?
A. On-Demand B. Spot C. Reserved
A. A, B, C
B. C, B, A
C. B, C, A
D. A, C, B
Answer: C
Explanation:
Spot instances are usually many, many times cheaper than on-demand prices. Reserved instances, depending on their term and utilization, can yield approximately 33% to 66% cost savings. On-Demand prices are the baseline price and are the most expensive way to purchase EC2 compute time. Reference: https://d0.awsstatic.com/whitepapers/Cost_Optimization_with_AWS.pdf
Q38. When thinking of AWS Elastic BeanstaIk's model, which is true?
A. Applications have many deployments, deployments have many environments.
B. Environments have many applications, applications have many deployments.
C. Applications have many environments, environments have many deployments.
D. Deployments have many environments, environments have many applications.
Answer: C
Explanation:
Applications group logical services. Environments belong to Applications, and typically represent different deployment levels (dev, stage, prod, fo forth). Deployments belong to environments, and are pushes of bundles of code for the environments to run.
Reference: http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/\NeIcome.html
Q39. For AWS Auto Scaling, what is the first transition state a new instance enters after leaving steady state when scaling out due to increased load?
A. EnteringStandby
B. Pending
C. Terminating:Wait
D. Detaching
Answer: B
Explanation:
When a scale out event occurs, the Auto Scaling group launches the required number of EC2 instances, using its assigned launch configuration. These instances start in the Pending state. If you add a lifecycle hook to your Auto Scaling group, you can perform a custom action here. For more information, see Lifecycle Hooks.
Reference: http://docs.aws.amazon.com/AutoScaling/latest/DeveIoperGuide/AutoScaIingGroupLifecycIe.html
Q40. You need to create an audit log of all changes to customer banking data. You use DynamoDB to store this customer banking data. |t's important not to lose any information due to server failures. What is an elegant way to accomplish this?
A. Use a DynamoDB StreamSpecification and stream all changes to AWS Lambda. Log the changes to
AWS CIoudWatch Logs, removing sensitive information before logging.
B. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application sewer, removing sensitive information before logging. Periodically rotate these log files into S3.
C. 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.
D. Before writing to DynamoDB, do a pre-write acknoledgment to disk on the application sewer, removing sensitive information before logging. Periodically pipe these files into CloudWatch Logs.
Answer: A
Explanation:
All suggested periodic options are sensitive to sewer failure during or between periodic flushes. Streaming to Lambda and then logging to CIoudWatch Logs will make the system resilient to instance and Availability Zone failures.
Reference: http://docs.aws.amazon.com/Iambda/latest/dg/with-ddb.html