[2021-New] Amazon AWS-Certified-DevOps-Engineer-Professional Dumps With Update Exam Questions (11-20)

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AWS-Certified-DevOps-Engineer-Professional Exam Questions - Online Test

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Q1. What is required to achieve gigabit network throughput on EC2? You already selected cluster-compute, 10GB instances with enhanced networking, and your workload is already network-bound, but you are not seeing 10 gigabit speeds.

A. Enable biplex networking on your servers, so packets are non-blocking in both directions and there's no switching overhead.

B. Ensure the instances are in different VPCs so you don't saturate the Internet Gateway on any one VPC.

C. Select PIOPS for your drives and mount several, so you can provision sufficient disk throughput.

D. Use a placement group for your instances so the instances are physically near each other in the same Availability Zone.

Answer: D

Explanation:

You are not guaranteed 10gigabit performance, except within a placement group.

A placement group is a logical grouping of instances within a single Availability Zone. Using placement groups enables applications to participate in a low-latency, 10 Gbps network. Placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html

Q2. Which of the following are not valid sources for OpsWorks custom cookbook repositories?

A. HTTP(S)

B. Git

C. AWS EBS

D. Subversion

Answer: C

Explanation:

Linux stacks can install custom cookbooks from any of the following repository types: HTTP or Amazon S3 archives. They can be either public or private, but Amazon S3 is typically the preferred option for a private archive. Git and Subversion repositories provide source control and the ability to have multiple versions.

Reference:

http://docs.aws.amazon.com/opsworks/latest/userguide/workingcookbook-instaIlingcustom-enable.html

Q3. What is the scope of an EBS volume?

A. VPC

B. Region

C. Placement Group

D. Availability Zone

Answer: D

Explanation:

An Amazon EBS volume is tied to its Availability Zone and can be attached only to instances in the same Availability Zone.

Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/resources.htmI

Q4. You are building a deployment system on AWS. You will deploy new code by bootstrapping instances in a private subnet in a VPC at runtime using UserData scripts pointing to an S3 zip file object, where your code is stored. An ELB in a public subnet has network interfaces and connectMty to the instances. Requests from users of the system are routed to the ELB via a Route53 A Record Alias. You do not use any VPC endpoints. Which is a risk of using this approach?

A. Route53 Alias records do not always update dynamically with ELB network changes after deploys.

B. If the NAT routing for the private subnet fails, deployments fail.

C. Kernel changes to the base AMI may render the code inoperable.

D. The instances cannot be in a private subnet if the ELB is in a public one.

Answer: B

Explanation:

Since you are not using VPC endpoints, outbound requests for the code sitting in S3 are routed though the NAT for the VPC's private subnets. If this networking fails, runtime bootstrapping through code

download will fail due to network unavailability and lack of access to the Internet, and thus Amazon S3. Reference: http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_NAT_Instance.html

Q5. 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

Q6. 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

Q7. You run a clustered NoSQL database on AWS EC2 using AWS EBS. You need to reduce latency for database response times. Performance is the most important concern, not availability. You did not perform the initial setup, someone without much AWS knowledge did, so you are not sure if they configured everything optimally. Which of the following is NOT likely to be an issue contributing to increased latency?

A. The EC2 instances are not EBS Optimized.

B. The database and requesting system are both in the wrong Availability Zone.

C. The EBS Volumes are not using PIOPS.

D. The database is not running in a placement group.

Answer: B

Explanation:

For the highest possible performance, all instances in a clustered database like this one should be in a single Availability Zone in a placement group, using EBS optimized instances, and using PIOPS SSD EBS Volumes. The particular Availability Zone the system is running in should not be important, as long as it is the same as the requesting resources.

Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html

Q8. Your system automatically provisions EIPs to EC2 instances in a VPC on boot. The system provisions the whole VPC and stack at once. You have two of them per VPC. On your new AWS account, your attempt to create a Development environment failed, after successfully creating Staging and Production environments in the same region. What happened?

A. You didn't choose the Development version of the AMI you are using.

B. You didn't set the Development flag to true when deploying EC2 instances.

C. You hit the soft limit of 5 EIPs per region and requested a 6th.

D. You hit the soft limit of 2 VPCs per region and requested a 3rd.

Answer: C

Explanation:

There is a soft limit of 5 E|Ps per Region for VPC on new accounts. The third environment could not allocate the 6th EIP.

Reference: http://docs.aws.amazon.com/generaI/latest/gr/aws_service_|imits.htmI#Iimits_vpc

Q9. What does it mean if you have zero IOPS and a non-empty I/O queue for all EBS volumes attached to a running EC2 instance?

A. The I/O queue is buffer flushing.

B. Your EBS disk head(s) is/are seeking magnetic stripes.

C. The EBS volume is unavailable.

D. You need to re-mount the EBS volume in the OS.

Answer: C

Explanation:

This is the definition of Unavailable from the EC2 and EBS SLA.

"UnavaiIabIe" and "Unavai|abi|ity" mean... For Amazon EBS, when all of your attached volumes perform zero read write IO, with pending IO in the queue.

Reference: https://aws.amazon.com/ec2/s|a/

Q10. 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