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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q329-Q334):

NEW QUESTION # 329
An organization has created 5 IAM users. The organization wants to give them the same login ID but different passwords. How can the organization achieve this?

A. The organization should create various groups and add each user with the same login ID to different groups. The user can login with their own group ID
B. The organization should create each user in a separate region so that they have their own URL to login
C. It is not possible to have the same login ID for multiple IAM users of the same account
D. The organization should create a separate login ID but give the IAM users the same alias so that each one can login with their alias

Answer: C

Explanation:
AWS Identity and Access Management is a web service which allows organizations to manage users and user permissions for various AWS services.
Whenever the organization is creating an IAM user, there should be a unique ID for each user. It is not possible to have the same login ID for multiple users. The names of users, groups, roles, instance profiles must be alphanumeric, including the following common characters: plus (+), equal (=), comma (,), period (.), at (@), and dash (-).
http://docs.aws.amazon.com/IAM/latest/UserGuide/Using_SettingUpUser.html

NEW QUESTION # 330
A company is running an application in the AWS Cloud. The application collects and stores a large amount of unstructured data in an Amazon S3 bucket. The S3 bucket contains several terabytes of data and uses the S3 Standard storage class. The data increases in size by several gigabytes every day.
The company needs to query and analyze the data. The company does not access data that is more than 1 year old. However, the company must retain all the data indefinitely for compliance reasons.
Which solution will meet these requirements MOST cost-effectively?

A. Use S3 Select to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
B. Use an AWS Glue Data Catalog and Amazon Athena to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
C. Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Intelligent-Tiering.
D. Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.

Answer: B

Explanation:
Explanation
Generally, unstructured data should be converted structured data before querying them. AWS Glue can do that. https://docs.aws.amazon.com/glue/latest/dg/schema-relationalize.html
https://docs.aws.amazon.com/athena/latest/ug/glue-athena.html

NEW QUESTION # 331
With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. The cluster is managed using an open-source framework called Hadoop. You have set up an application to run Hadoop jobs. The application reads data from DynamoDB and generates a temporary file of 100 TBs.
The whole process runs for 30 minutes and the output of the job is stored to S3. Which of the below mentioned options is the most cost effective solution in this case?

A. Use an on demand instance to run Hadoop jobs and configure them with EBS volumes for persistent storage.
B. Use Spot Instances to run Hadoop jobs and configure them with ephermal storage for output file storage.
C. Use Spot Instances to run Hadoop jobs and configure them with EBS volumes for persistent data storage.
D. Use an on demand instance to run Hadoop jobs and configure them with ephemeral storage for output file storage.

Answer: B

Explanation:
AWS EC2 Spot Instances allow the user to quote his own price for the EC2 computing capacity.
The user can simply bid on the spare Amazon EC2 instances and run them whenever his bid exceeds the current Spot Price. The Spot Instance pricing model complements the On-Demand and Reserved Instance pricing models, providing potentially the most cost-effective option for obtaining compute capacity, depending on the application. The only challenge with a Spot Instance is data persistence as the instance can be terminated whenever the spot price exceeds the bid price. In the current scenario a Hadoop job is a temporary job and does not run for a longer period. It fetches data from a persistent DynamoDB. Thus, even if the instance gets terminated there will be no data loss and the job can be re-run. As the output files are large temporary files, it will be useful to store data on ephermal storage for cost savings.
http://aws.amazon.com/ec2/purchasing-options/spot-instances/

NEW QUESTION # 332
A company wants to allow its Marketing team to perform SQL queries on customer records to identify market segments. The data is spread across hundreds of files. The records must be encrypted in transit and at rest. The Team Manager must have the ability to manage users and groups, but no team members should have access to services or resources not required for the SQL queries. Additionally, Administrators need to audit the queries made and receive notifications when a query violates rules defined by the Security team.
AWS Organizations has been used to create a new account and an AWS IAM user with administrator permissions for the Team Manager.
Which design meets these requirements?

A. Apply a service control policy (SCP) that denies to all services except IAM, Amazon DynamoDB, and AWS CloudTrail. Store customer records in DynamoDB and train users to execute queries using the AWS CLI. Enable DynamoDB streams to track the queries that are issued and use an AWS Lambda function for real-time monitoring and alerting.
B. Apply a service control policy (SCP) that allows access to IAM, Amazon RDS, and AWS CloudTrail.
Load customer records in Amazon RDS MySQL and train users to execute queries using the AWS CLI.
Stream the query logs to Amazon CloudWatch Logs from the RDS database instance. use a subscription filter with AWS lambda functions to audit and alarm on queries against personal data.
C. Apply a service control policy (SCP) that allows to IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer records as files in Amazon S3 and train users to leverage the Amazon S3 Select feature and execute queries using the AWS CLI. Enable S3 object-level logging and analyze CloudTrail events to audit and alarm on queries against personal data.
D. Apply a service control policy (SCP) that denies access to all services except IAM, Amazon Athena, Amazon S3, and AWS CloudTrail. Store customer record files in Amazon S3 and train users to execute queries using the CLI via Athena. Analyze CloudTrail events to audit and alarm on queries against personal data.

Answer: D

NEW QUESTION # 333
A bank is designing an online customer service portal where customers can chat with customer service agents.
The portal is required to maintain a 15-minute RPO or RTO in case of a regional disaster. Banking regulations require that all customer service chat transcripts must be preserved on durable storage for at least 7 years, chat conversations must be encrypted in-flight, and transcripts must be encrypted at rest. The Data Lost Prevention team requires that data at rest must be encrypted using a key that the team controls, rotates, and revokes.
Which design meets these requirements?

A. The chat application logs each chat message into Amazon CloudWatch Logs. A scheduled AWS Lambda function invokes a CloudWatch Logs. CreateExportTask every 5 minutes to export chat transcripts to Amazon S3. The S3 bucket is configured for cross-region replication to the backup region.
Separate AWS KMS keys are specified for the CloudWatch Logs group and the S3 bucket.
B. The chat application logs each chat message into Amazon CloudWatch Logs. The CloudWatch Logs group is configured to export logs into an Amazon Glacier vault with a 7-year vault lock policy. Glacier cross-region replication mirrors chat archives to the backup region. Separate AWS KMS keys are specified for the CloudWatch Logs group and the Amazon Glacier vault.
C. The chat application logs each chat message into Amazon CloudWatch Logs. A subscription filter on the CloudWatch Logs group feeds into an Amazon Kinesis Data Firehose which streams the chat messages into an Amazon S3 bucket in the backup region. Separate AWS KMS keys are specified for the CloudWatch Logs group and the Kinesis Data Firehose.
D. The chat application logs each chat message into two different Amazon CloudWatch Logs groups in two different regions, with the same AWS KMS key applied. Both CloudWatch Logs groups are configured to export logs into an Amazon Glacier vault with a 7-year vault lock policy with a KMS key specified.

Answer: D

NEW QUESTION # 334
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100% Pass Quiz 2025 Useful Amazon AWS-Solutions-Architect-Professional Pass Guarantee

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Amazon AWS Certified Solutions Architect - Professional Sample Questions (Q329-Q334):

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