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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q147-Q152):

NEW QUESTION # 147
A travel company built a web application that uses Amazon Simple Email Service (Amazon SES) to send email notifications to users. The company needs to enable logging to help troubleshoot email delivery issues. The company also needs the ability to do searches that are based on recipient, subject, and time sent.
Which combination of steps should a solutions architect take to meet these requirements? (Select TWO.)

A. Enable AWS CloudTrail logging. Specify an Amazon S3 bucket as the destination for the logs.
B. Use Amazon Athena to query the logs in Amazon CloudWatch for recipient, subject, and time sent.
C. Create an Amazon CloudWatch log group. Configure Amazon SES to send logs to the log group
D. Use Amazon Athena to query the fogs in the Amazon S3 bucket for recipient, subject, and time sent.
E. Create an Amazon SES configuration set with Amazon Kinesis Data Firehose as the destination. Choose to send logs to an Amazon S3 bucket.

Answer: D,E

Explanation:
https://docs.aws.amazon.com/ses/latest/dg/event-publishing-retrieving-firehose.html To enable you to track your email sending at a granular level, you can set up Amazon SES to publish email sending events to Amazon CloudWatch, Amazon Kinesis Data Firehose, or Amazon Simple Notification Service based on characteristics that you define. https://docs.aws.amazon.com/ses/latest/dg/monitor-using-event-publishing.html
https://aws.amazon.com/getting-started/hands-on/build-serverless-real-time-data-processing-app-lambda-kinesis-s3-dynamodb-cognito-athena/4/#:~:text=Amazon%20Athena%20allows%20us%20to,to%20an%20Amazon%20S3%20bucket.

NEW QUESTION # 148
A company that provides wireless services needs a solution to store and analyze log files about user activities. Currently, log files are delivered daily to Amazon Linux on Amazon EC2 instance. A batch script is run once a day to aggregate data used for analysis by a third-party tool. The data pushed to the third-party tool is used to generate a visualization for end users. The batch script is cumbersome to maintain, and it takes several hours to deliver the ever-increasing data volumes to the third-party tool. The company wants to lower costs, and is open to considering a new tool that minimizes development effort and lowers administrative overhead. The company wants to build a more agile solution that can store and perform the analysis in near-real time, with minimal overhead. The solution needs to be cost effective and scalable to meet the company's end-user base growth.
Which solution meets the company's requirements?

A. Use an in-memory caching application running on an Amazon EBS-optimized EC2 instance to capture the log data in near real-time. Install an Amazon ES cluster on the same EC2 instance to store the log files as they are delivered to Amazon EC2 in near real-time. Install a Kibana plugin to create the visualizations.
B. Use an Amazon Kinesis agent running on an EC2 instance in an Auto Scaling group to collect and send the data to an Amazon Kinesis Data Forehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data directly to Amazon ES. Use Kibana to visualize the data.
C. Develop a Python script to failure the data from Amazon EC2 in real time and store the data in Amazon S3. Use a copy command to copy data from Amazon S3 to Amazon Redshift. Connect a business intelligence tool running on Amazon EC2 to Amazon Redshift and create the visualizations.
D. Use an Amazon Kinesis agent running on an EC2 instance to collect and send the data to an Amazon Kinesis Data Firehose delivery stream. The Kinesis Data Firehose delivery stream will deliver the data to Amazon S3. Use an AWS Lambda function to deliver the data from Amazon S3 to Amazon ES. Use Kibana to visualize the data.

Answer: B

Explanation:
https://docs.aws.amazon.com/firehose/latest/dev/writing-with-agents.html

NEW QUESTION # 149
A company has an on-premises monitoring solution using a PostgreSQL database for persistence of events. The database is unable to scale due to heavy ingestion and it frequently runs out of storage.
The company wants to create a hybrid solution and has already set up a VPN connection between its network and AWS. The solution should include the following attributes:
* Managed AWS services to minimize operational complexity.
* A buffer that automatically scales to match the throughput of data and requires no ongoing administration.
* A visualization tool to create dashboards to observe events in near-real time.
* Support for semi-structured JSON data and dynamic schemas.
Which combination of components will enable the company to create a monitoring solution that will satisfy these requirements? (Select TWO.)

A. Configure Amazon Elasticsearch Service (Amazon ES) to receive events. Use the Kibana endpoint deployed with Amazon ES to create near-real-time visualizations and dashboards.
B. Configure an Amazon Aurora PostgreSQL DB cluster to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
C. Configure an Amazon Neptune DB instance to receive events. Use Amazon QuickSight to read from the database and create near-real-time visualizations and dashboards.
D. Create an Amazon Kinesis data stream to buffer events. Create an AWS Lambda function to process and transform events.
E. Use Amazon Kinesis Data Firehose to buffer events. Create an AWS Lambda function to process and transform events.

Answer: C,D

NEW QUESTION # 150
A group of research institutions and hospitals are in a partnership to study 2 PBs of genomic dat
a. The institute that owns the data stores it in an Amazon S3 bucket and updates it regularly. The institute would like to give all of the organizations in the partnership read access to the data. All members of the partnership are extremety cost-conscious, and the institute that owns the account with the S3 bucket is concerned about covering the costs tor requests and data transfers from Amazon S3.
Which solution allows for secure datasharing without causing the institute that owns the bucket to assume all the costs for S3 requests and data transfers'?

A. Ensure that all organizations in the partnership have AWS accounts. In the account with the S3 bucket, create a cross-account role for each account in the partnership that allows read access to the data. Have the organizations assume and use that read role when accessing the data.
B. Ensure that all organizations in the partnership have AWS accounts. Configure buckets in each of the accounts with a bucket policy that allows the institute that owns the data the ability to write to the bucket Periodically sync the data from the institute's account to the other organizations. Have the organizations use their AWS credentials when accessing the data using their accounts
C. Ensure that all organizations in the partnership have AWS accounts. Create a bucket policy on the bucket that owns the data The policy should allow the accounts in the partnership read access to the bucket. Enable Requester Pays on the bucket. Have the organizations use their AWS credentials when accessing the data.
D. Ensure that all organizations in the partnership have AWS accounts. In the account with the S3 bucket, create a cross-account role for each account in the partnership that allows read access to the data. Enable Requester Pays on the bucket. Have the organizations assume and use that read role when accessing the data.

Answer: C

Explanation:
In general, bucket owners pay for all Amazon S3 storage and data transfer costs associated with their bucket. A bucket owner, however, can configure a bucket to be a Requester Pays bucket. With Requester Pays buckets, the requester instead of the bucket owner pays the cost of the request and the data download from the bucket. The bucket owner always pays the cost of storing data. If you enable Requester Pays on a bucket, anonymous access to that bucket is not allowed.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/RequesterPaysExamples.html

NEW QUESTION # 151
Your company is storing millions of sensitive transactions across thousands of 100-GB files that must be encrypted in transit and at rest. Analysts concurrently depend on subsets of files, which can consume up to 5 TB of space, to generate simulations that can be used to steer business decisions.
You are required to design an AWS solution that can cost effectively accommodate the long-term storage and in-flight subsets of data.
Which approach can satisfy these objectives?

A. Use Amazon S3 with server-side encryption, and run simulations on subsets in-memory on Amazon EC2.
B. Store the full data set in encrypted Amazon Elastic Block Store (EBS) volumes, and regularly capture snapshots that can be cloned to EC2 workstations.
C. Use Amazon Simple Storage Service (S3) with server-side encryption, and run simulations on subsets in ephemeral drives on Amazon EC2.
D. Use HDFS on Amazon Elastic MapReduce (EMR), and run simulations on subsets in-memory on Amazon Elastic Compute Cloud (EC2).
E. Use HDFS on Amazon EMR, and run simulations on subsets in ephemeral drives on Amazon EC2.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-plan-file-systems.html

NEW QUESTION # 152
......

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