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Amazon AWS-DevOps (AWS Certified DevOps Engineer - Professional (DOP-C01)) Certification Exam is a highly sought-after certification for IT professionals looking to advance their skills in the field of DevOps. DevOps is a set of practices that emphasizes collaboration and communication between software developers and other IT professionals in order to improve the speed and quality of software delivery. The AWS-DevOps certification exam is designed to test the knowledge and skills necessary to design, deploy, and manage a DevOps system on the Amazon Web Services (AWS) platform.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q318-Q323):

NEW QUESTION # 318
A media customer has several thousand amazon EC2 instances in an AWS account. The customer is using a Slack channel for team communications and important updates. A DevOps Engineer was told to send all AWS-scheduled EC2 maintenance notifications to the company Slack channel. Which method should the Engineer use to implement this process in the LEAST amount of steps?

A. Integrate AWS Trusted Advisor with AWS Config. Based on the AWS Config rules created, the AWS Config event can invoke an AWS Lambda function to send notifications to the Slack channel.
B. Integrate AWS Support with AWS CloudTrail. Based on the CloudTrail lookup event created, the event can invoke an AWS Lambda function to pass EC2 maintenance notifications to the Slack channel.
C. Integrate EC2 events with Amazon CloudWatch monitoring. Based on the CloudWatch Alarm created, the alarm can invoke an AWS Lambda function to send EC2 maintenance notifications to the Slack channel.
D. Integrate AWS Personal Health Dashboard with Amazon CloudWatch Events. Based on the CloudWatch Events created, the event can invoke an AWS Lambda function to send notifications to the Slack channel.

Answer: D

Explanation:
https://docs.aws.amazon.com/health/latest/ug/cloudwatch-events-health.html

NEW QUESTION # 319
A web application has been deployed using an AWS Elastic Beanstalk application The Application Developers are concerned that they are seeing high latency in two different areas of the application:
- HTTP client requests to a third-party API
- MySQL client library queries to an Amazon RDS database
- A DevOps Engineer must gather trace data to diagnose the issues.
Which steps will gather the trace information with the LEAST amount of changes and performance impacts to the application?

A. Instrument the application to use the AWS X-Ray SDK. Post trace data to an Amazon Elasticsearch Service cluster. Query the trace data for calls to the HTTP client and the MySQL client.
B. On the AWS Elastic Beanstalk management page for the application, enable the AWS X-Ray daemon.
View the trace data in the X-Ray console.
C. Add additional logging to the application code. Use the Amazon CloudWatch agent to stream the application logs into Amazon Elasticsearch Service. Query the log data in Amazon ES.
D. Instrument the application using the AWS X-Ray SDK. On the AWS Elastic Beanstalk management page for the application, enable the X-Ray daemon. View the trace data in the X-Ray console.

Answer: D

NEW QUESTION # 320
You have the following application to be setup in AWS
1) A web tier hosted on EC2 Instances
2) Session data to be written to DynamoDB
3) Log files to be written to Microsoft SQL Server
How can you allow an application to write data to a DynamoDB table?

A. Add an 1AM user to a running EC2 instance.
B. Add an 1AM user that allows write access to the DynamoDB table.
C. Create an 1AM role that allows write access to the DynamoDB table.
D. Create an 1AM role that allows read access to the DynamoDB table.

Answer: C

Explanation:
Explanation
I AM roles are designed so that your applications can securely make API requests from your instances, without requiring you to manage the security credentials that the applications use. Instead of creating and distributing your AWS credentials For more information on 1AM Roles please refer to the below link:
* http://docs.aws.a
mazon.com/AWSCC2/latest/UserGuide/iam-roles-for-amazon-ec2. html

NEW QUESTION # 321
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. 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.
B. 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
C. Changeyour Auto Scalinggroup configuration to use Amazon C3 instance types, becausethe web application layer is probably running out of compute capacity.
D. Adda caching layer in front of your web application by choosing ElastiCacheMemcached instances in one of the AZs.
E. 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.

Answer: B

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/Guide I inesForTables.htm I 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 # 322
During metric analysis, your team has determined that the company's website during peak hours is experiencing response times 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 2 answers.

A. 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.
B. IncreaseyourAutoScalinggroup'snumberofmaxservers.
C. 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.
D. Push custom metrics to CloudWatch to monitor your CPU and network bandwidth from your servers, which will allow your Auto Scaling policy to have betterfine-grain insight.

Answer: B,C

Explanation:
Explanation
Option B makes sense because maybe the max servers is low hence the application cannot handle the peak load.
Option D helps in ensuring Autoscaling can scale the group on the right metrics.
For more information on Autoscaling health checks, please refer to the below document link: from AWS
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/healthcheck.html
*

NEW QUESTION # 323
......

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