[Q116-Q140] Pass AWS-DevOps-Engineer-Professional Exam in First Attempt Guaranteed 100% Cover Real Exam Questions [Dec-2021]

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Pass AWS-DevOps-Engineer-Professional Exam in First Attempt Guaranteed 100% Cover Real Exam Questions [Dec-2021]

Valid AWS-DevOps-Engineer-Professional test answers & Amazon AWS-DevOps-Engineer-Professional exam pdf

NEW QUESTION 116
When thinking of AWS OpsWorks, which of the following is true?

  • A. Instances have many stacks, stacks have many layers.
  • B. Layers have many stacks, stacks have many instances.
  • C. Layers have many instances, instances have many stacks.
  • D. Stacks have many layers, layers have many instances.

Answer: D

Explanation:
The stack is the core AWS OpsWorks component. It is basically a container for AWS resources-Amazon
EC2 instances, Amazon RDS database instances, and so on-that have a common purpose and should
be logically managed together. You define the stack's constituents by adding one or more layers. A layer
represents a set of Amazon EC2 instances that serve a particular purpose, such as serving applications
or hosting a database server. An instance represents a single computing resource, such as an Amazon
EC2 instance.
Reference: http://docs.aws.amazon.com/opsworks/latest/userguide/welcome.html

 

NEW QUESTION 117
Your mobile application includes a photo-sharing service that is expecting tens of thousands of users at launch.
You will leverage Amazon Simple Storage Service (S3) for storage of the user Images, and you must decide
how to authenticate and authorize your users for access to these images. You also need to manage the storage
of these images. Which two of the following approaches should you use? Choose two answers from the
options below

  • A. Use a key-based naming scheme comprised from the user IDs for all user objects in a single Amazon S3
    bucket.
  • B. Authenticate your users at the application level, and use AWS Security Token Service (STS) to grant
    token-based authorization to S3 objects.
  • C. Use AWS Identity and Access Management (1AM) user accounts as your application-level user
    database, and offload the burden of authentication from your application code.
  • D. Create an Amazon S3 bucket per user, and use your application to generate the S3 URI for the
    appropriate content.
  • E. Authenticate your users at the application level, and send an SMS token message to the user. Create an
    Amazon S3 bucket with the same name as the SMS message token, and move the user's objects to that
    bucket.

Answer: A,B

Explanation:
Explanation
The AWS Security Token Service (STS) is a web service that enables you to request temporary,
limited-privilege credentials for AWS Identity and Access
Management (1AM) users or for users that you authenticate (federated users).
The token can then be used to grant access to the objects in S3.
You can then provides access to the objects based on the key values generated via the user id.
Option A is possible but then becomes a maintenance overhead because of the number of buckets.
Option B is invalid because 1AM users is not a good security practice.
Option D is invalid because SMS tokens are not efficient for this requirement.
For more information on the Security Token Service please refer to the below link:
* http://docs.aws.amazon.com/STS/latest/APIReference/Welcome.htrril

 

NEW QUESTION 118
For AWS Auto Scaling, what is the first transition state an instance enters after leaving steady state when scaling in due to health check failure or decreased load?

  • A. EnteringStandby
  • B. Detaching
  • C. Terminating
  • D. Terminating:Wait

Answer: C

Explanation:
When Auto Scaling responds to a scale in event, it terminates one or more instances. These instances are detached from the Auto Scaling group and enter the Terminating state.
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/AutoScalingGroupLifecycle.html

 

NEW QUESTION 119
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. 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.
  • C. Changeyour Auto Scalinggroup configuration to use Amazon C3 instance types, becausethe web application layer is probably running out of compute capacity.
  • D. 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.
  • E. 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

Answer: E

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 120
Which Auto Scaling process would be helpful when testing new instances before sending traffic to them, while still keeping them in your Auto Scaling Group?

  • A. Suspend the process Replace Unhealthy
  • B. Suspend the process AZ Rebalance
  • C. Suspend the process AddToLoadBalancer
  • D. Suspend the process Health Check

Answer: C

Explanation:
Explanation
If you suspend Ad dTo Load Balancer, Auto Scaling launches the instances but does not add them to the load balancer or target group. If you resume the AddTo Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group when they are launched. However, Auto Scaling does not add the instances that were launched while this process was suspended. You must register those instances manually.
Option A is invalid because this just balances the number of CC2 instances in the group across the Availability Zones in the region Option B is invalid because this just checks the health of the instances. Auto Scaling marks an instance as unhealthy if Amazon CC2 or Clastic Load Balancing tells Auto Scaling that the instance is unhealthy.
Option C is invalid because this process just terminates instances that are marked as unhealthy and later creates new instances to replace them.
For more information on process suspension, please refer to the below document link: from AWS
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resume-processes.html

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