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The AWS Certified Solutions Architect - Professional certification exam is designed for individuals who possess advanced technical skills and experience in designing distributed applications and systems on the Amazon Web Services (AWS) platform. AWS Certified Solutions Architect - Professional certification validates an individual's ability to architect and deploy secure and scalable applications on AWS, and demonstrate knowledge of best practices for building and designing cloud architectures.

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The AWS Certified Solutions Architect - Professional, also known as the AWS-Solutions-Architect-Professional, is an advanced level certification exam designed by Amazon Web Services (AWS) for professionals who want to demonstrate their expertise in designing and deploying AWS solutions. AWS-Solutions-Architect-Professional Exam is intended for individuals who have already obtained the AWS Certified Solutions Architect - Associate certification and have significant hands-on experience with AWS services.

Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q157-Q162):

NEW QUESTION # 157
A company is using an Amazon EMR cluster to run its big data jobs The cluster's jobs are invoked by AWS Step Functions Express Workflows that consume various Amazon Simple Queue Service (Amazon SQS) queues The workload of this solution is variable and unpredictable Amazon CloudWatch metrics show that the cluster's peak utilization is only 25% at times and that the cluster sits idle the rest of the time A solutions architect must optimize the costs of the cluster without negatively impacting the time it takes to run the various jobs What is the MOST cost-effective solution that meets these requirements?

A. Purchase Reserved Instances for the master node and core nodes Terminate all existing task nodes in the EMR cluster
B. Modify the EMR cluster to use capacity-optimized Spot Instances and a diversified task fleet. Define target capacity for each node type with a mix of On-Demand Instances and Spot Instances.
C. Modify the EMR cluster to use an instance fleet of Dedicated On-Demand Instances for the master node and core nodes, and to use Spot Instances for the task nodes. Define target capacity for each node type to cover the load.
D. Modify the EMR cluster by turning on automatic scaling of the core nodes and task nodes with a custom policy that is based on cluster utilization Purchase Reserved Instance capacity to cover the master node.

Answer: C

Explanation:
Explanation
Modifying the EMR cluster to use an instance fleet of Dedicated On-Demand Instances for the master node and core nodes and Spot Instances for the task nodes allows for greater cost savings than the other options.
Additionally, by defining target capacity for each node type to cover the load, the EMR cluster will be able to quickly scale up to meet the workload requirements and then scale back down when the workload decreases.
This will ensure that the cluster is only running and consuming resources when it is necessary.
For more information about configuring an EMR cluster for cost optimization, please refer to the AWS Certified Solutions Architect - Professional Official Amazon Text Book and Resources (https://d1.awsstatic.com/training-and-certification/docs-sa-pro/AWS_Certified_Solutions_Architect_Profession

NEW QUESTION # 158
A company is running a commercial Apache Hadoop cluster on Amazon EC2. This cluster is being used daily to query large files on Amazon S3. The data on Amazon S3 has been curated and does not require any additional transformations steps. The company is using a commercial business intelligence (BI) tool on Amazon EC2 to run queries against the Hadoop cluster and visualize the data.
The company wants to reduce or eliminate the overhead costs associated with managing the Hadoop cluster and the BI tool. The company would like to remove to a more cost-effective solution with minimal effort. The visualization is simple and requires performing some basic aggregation steps only.
Which option will meet the company's requirements?

A. Develop a stored procedure invoked from a MySQL database running on Amazon EC2 to analyze EC2 to analyze the files in Amazon S3. Then use a fast in-memory BL tool running on Amazon EC2 to visualize the data.
B. Use a commercial extract, transform, load (ETL) tool that runs on Amazon EC2 to prepare the data for processing. Then switch to a faster and cheaper Bl tool that runs on Amazon EC2 to visualize the data from Amazon S3.
C. Launch a transient Amazon EMR cluster daily and develop an Apache Hive script to analyze the files on Amazon S3. Shut down the Amazon EMR cluster when the job is complete. The use the Amazon QuickSight to connect to Amazon EMR and perform the visualization.
D. Develop a script that uses Amazon Athena to query and analyze the files on Amazon S3. Then use Amazon QuickSight to connect to Athena and perform the visualization.

Answer: D

Explanation:
ABD: Not minimum effort.
C: QuickSight can connect to Athena, S3, text files, Excel, Salesforce, Amazon Redshift, Amazon RDS, Amazon EC2, or other database data sources. Athena is easy to use. Simply point to your data in Amazon S3, define the schema, and start querying using standard SQL. Most results are delivered within seconds. With Athena, there's no need for complex ETL jobs to prepare your data for analysis. This makes it easy for anyone with SQL skills to quickly analyze large-scale datasets.
https://docs.aws.amazon.com/quicksight/latest/user/create-a-data-set-athena.html
https://aws.amazon.com/athena/

NEW QUESTION # 159
A company has a new security policy. The policy requires the company to log any event that retrieves data from Amazon S3 buckets. The company must save these audit logs in a dedicated S3 bucket. The company created the audit logs S3 bucket in an AWS account that is designated for centralized logging. The S3 bucket has a bucket policy that allows write-only cross-account access A solutions architect must ensure that all S3 object-level access is being logged for current S3 buckets and future S3 buckets. Which solution will meet these requirements?

A. Enable server access logging for all current S3 buckets. Use the audit logs S3 bucket as a destination for audit logs
B. Configure S3 Event Notifications for all current S3 buckets to invoke an AWS Lambda function every time objects are accessed . Store Lambda logs in the audit logs S3 bucket.
C. Enable replication between all current S3 buckets and the audit logs S3 bucket Enable S3 Versioning in the audit logs S3 bucket
D. Enable AWS CloudTrail. and use the audit logs S3 bucket to store logs Enable data event logging for S3 event sources, current S3 buckets, and future S3 buckets.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/logging-with-S3.html

NEW QUESTION # 160
Which of the following is true while using an IAM role to grant permissions to applications running on
Amazon EC2 instances?

A. Multiple roles are assigned to an EC2 instance at a time.
B. All applications on the instance share the same role, but different permissions.
C. All applications on the instance share multiple roles and permissions.
D. Only one role can be assigned to an EC2 instance at a time.

Answer: D

Explanation:
Only one role can be assigned to an EC2 instance at a time, and all applications on the instance share the
same role and permissions.
Reference: http://docs.aws.amazon.com/IAM/latest/UserGuide/role-usecase-ec2app.html

NEW QUESTION # 161
A company is designing a new highly available web application on AWS. The application requires consistent and reliable connectivity from the application servers in AWS to a backend REST API hosted in the company's on-premises environment. The backend connection between AWS and on-premises will be routed over an AWS Direct Connect connection through a private virtual interface. Amazon Route 53 will be used to manage private DNS records for the application to resolve the IP address on the backend REST API.
Which design would provide a reliable connection to the backend API?

A. Create an IPSec VPN connection routed over the public internet from the on-premises data center to AWS and attach it to the same virtual private gateway as the Direct Connect connection.
B. Install a second Direct Connect connection from a different network carrier and attach it to the same virtual private gateway as the first Direct Connect connection.
C. Implement at least two backend endpoints for the backend REST API, and use Route 53 health checks to monitor the availability of each backend endpoint and perform DNS-level failover.
D. Install a second cross connect for the same Direct Connect connection from the same network carrier, and join both connections to the same link aggregation group (LAG) on the same private virtual interface.

Answer: A

NEW QUESTION # 162
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