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Exam Cram AWS-DevOps Pdf - AWS-DevOps Sample Questions Answers
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Latest Released Exam Cram AWS-DevOps Pdf - Amazon AWS Certified DevOps Engineer - Professional Sample Questions Answers
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To be eligible for the DOP-C01 certification exam, candidates must have a minimum of two years of experience in developing and operating applications on the AWS platform. They must also have experience in DevOps practices, including continuous integration and continuous deployment (CI/CD), infrastructure as code (IaC), monitoring and logging, and automation.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q422-Q427):
NEW QUESTION # 422
You have been tasked with implementing an automated data backup solution for your application servers that run on Amazon EC2 with Amazon EBS volumes. You want to use a distributed data store for your backups to avoid single points of failure and to increase the durability of the data. Daily backups should be retained for 30 days so that you can restore data within an hour.
How can you implement this through a script that a scheduling daemon runs daily on the application servers?
- A. Write the script to call the Amazon Glacier upload archive API, and tag the backup archive with the current date-time group. Use the list vaults API to enumerate existing backup archives Call the delete vault API to prune backup archives that are tagged with a date-time group older than 30 days.
- B. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current date time group, and copy backup data to a second Amazon EBS volume. Use the ec2-describe-volumes API to enumerate existing backup volumes. Call the ec2-delete-volume API to prune backup volumes that are tagged with a date-tine group older than 30 days.
- C. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current date-time group, and use the ec2-copy-snapshot API to back up data to the new Amazon EBS volume. Use the ec2- describe-snapshot API to enumerate existing backup volumes. Call the ec2-delete-snaphot API to prune backup Amazon EBS volumes that are tagged with a date-time group older than 30 days.
- D. Write the script to call the ec2-create-snapshot API, and tag the Amazon EBS snapshot with the current date-time group. Use the ec2-describe-snapshot API to enumerate existing Amazon EBS snapshots. Call the ec2-delete-snapShot API to prune Amazon EBS snapshots that are tagged with a datetime group older than 30 days.
Answer: D
NEW QUESTION # 423
A company wants to use Amazon DynamoDB for maintaining metadata on its forums. See the sample data set in the image below.
A DevOps Engineer is required to define the table schema with the partition key, the sort key, the local secondary index, projected attributes, and fetch operations.
The schema should support the following example searches using the least provisioned read capacity units to minimize cost.
-Search within ForumName for items where the subject starts with "~a'.
-Search forums within the given LastPostDateTime time frame.
-Return the thread value where LastPostDateTime is within the last three months.
Which schema meets the requirements?
- A. Use ForumName as the primary key and Subject as the sort key. Have LSI with LastPostDateTime as the sort key and the projected attribute thread.
- B. Use ForumName as the primary key and Subject as the sort key. Have LSI with Thread as the sort key and the projected attribute LastPostDateTime.
- C. Use Subject as the primary key and ForumName as the sort key. Have LSI with Thread as the sort key and fetch operations for LastPostDateTime.
- D. Use Subject as the primary key and ForumName as the sort key. Have LSI with LastPostDateTime as the sort key and fetch operations for thread.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/LSI.html
NEW QUESTION # 424
You have a web application that is currently running on a three M3 instances in three AZs. You have an Auto Scaling group configured to scale from three to thirty instances. When reviewing your Cloud Watch metrics, you see that sometimes your Auto Scalinggroup is hosting fifteen instances. The web application is reading and writing to a DynamoDB-configured backend and configured with 800 Write Capacity Units and 800 Read Capacity Units. Your DynamoDB Primary Key is the Company ID. You are hosting 25 TB of data in your web application. You have a single customer that is complaining of long load times when their staff arrives at the office at 9:00 AM and loads the website, which consists of content that is pulled from DynamoDB. You have other customers who routinely use the web application. Choose the answer that will ensure high availability and reduce the customer's access times.
- A. Adda caching layer in front of your web application by choosing ElastiCacheMemcached instances in one of the AZs.
- B. Implementan Amazon SQS queue between your DynamoDB database layer and the webapplication layer to minimize the large burst in traffic the customergenerateswhen everyone arrives at the office at
9:00AM and begins accessing the website. - C. Doublethe number of Read Capacity Units in your DynamoDB instance because theinstance is probably being throttled when the customer accesses the website andyour web application.
- D. Usedata pipelines to migrate your DynamoDB table to a new DynamoDB table with aprimary key that is evenly distributed across your dataset. Update your webappl ication to request data from the new table
- E. Changeyour Auto Scalinggroup configuration to use Amazon C3 instance types, becausethe web application layer is probably running out of compute capacity.
Answer: D
Explanation:
Explanation
The AWS documentation provide the following information on the best performance for DynamoDB tables The optimal usage of a table's provisioned throughput depends on these factors: The primary key selection.
The workload patterns on individual items. The primary key uniquely identifies each item in a table. The primary key can be simple (partition key) or composite (partition key and sort key). When it stores data, DynamoDB divides a table's items into multiple partitions, and distributes the data primarily based upon the partition key value. Consequently, to achieve the full amount of request throughput you have provisioned for a table, keep your workload spread evenly across the partition key values. Distributing requests across partition key values distributes the requests across partitions. For more information on DynamoDB best practises please visit the link:
* http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GuideIinesForTables.html
Note: One of the AWS forumns is explaining the steps for this process in detail. Based on that, while importing data from S3 using datapipeline to a new table in dynamodb we can create a new index.
Please find the steps given below.
NEW QUESTION # 425
Your company has the requirement to set up instances running as part of an Autoscaling Group. Part of the requirement is to use Lifecycle hooks to setup custom based software's and do the necessary configuration on the instances. The time required for this setup might take an hour, or might finish before the hour is up. How should you setup lifecycle hooks for the Autoscaling Group. Choose 2 ideal actions you would include as part of the lifecycle hook.
- A. Configure the lifecycle hook to record heartbeats. If the hour is up, choose to terminate the current instance and start a new one
- B. Configure the lifecycle hook to record heartbeats. If the hour is up, restart the timeout period.
- C. Ifthe software installation and configuration is complete, then restart the time period.
- D. If the software installation and configuration is complete, then send a signal to complete the launch of the instance.
Answer: B,D
Explanation:
Explanation
The AWS Documentation provides the following information on lifecycle hooks By default, the instance remains in a wait state for one hour, and then Auto Scaling continues the launch or terminate process (Pending: Proceed or Terminating: Proceed). If you need more time, you can restart the timeout period by recording a heartbeat. If you finish before the timeout period ends, you can complete the lifecycle action, which continues the launch or termination process For more information on AWS Lifecycle hooks, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.html
NEW QUESTION # 426
You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly at a
high velocity. Your business intelligence team can understand SQL. What AWS service(s) should you look to
first?
- A. EMR using Hive
- B. Kinesis Firehose+RedShift
- C. EMR running Apache Spark
- D. Kinesis Firehose + RDS
Answer: B
Explanation:
Explanation
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture, transform, and
load streaming data into Amazon Kinesis
Analytics, Amazon S3, Amazon Redshift, and Amazon Oasticsearch Sen/ice, enabling near real-time analytics
with existing business intelligence tools and
dashboards you're already using today. It is a fully managed service that automatically scales to match the
throughput of your data and requires no ongoing
administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of
storage used at the destination and increasing security.
For more information on Kinesis firehose, please visit the below URL:
* https://aws.amazon.com/kinesis/firehose/
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with
just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to
acquire new insights for your business and customers. For more information on Redshift, please visit the
below URL:
* http://docs.aws.amazon.com/redshift/latest/mgmt/wel
come.html
NEW QUESTION # 427
......
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