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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q38-Q43):

NEW QUESTION # 38
A company plans to build a data analytics application in AWS which will be deployed in an Auto Scaling group of On-Demand EC2 instances and a MongoDB database. It is expected that the database will have high-throughput workloads performing small, random I/O operations. As the Solutions Architect, you are required to properly set up and launch the required resources in AWS.
Which of the following is the most suitable EBS type to use for your database?

A. General Purpose SSD (gp2)
B. Provisioned IOPS SSD (io1)
C. Cold HDD (sc1)
D. Throughput Optimized HDD (st1)

Answer: B

Explanation:
On a given volume configuration, certain I/O characteristics drive the performance behavior for your EBS volumes. SSD-backed volumes, such as General Purpose SSD (gp2) and Provisioned IOPS SSD (io1), deliver consistent performance whether an I/O operation is random or sequential. HDD-backed volumes like Throughput Optimized HDD (st1) and Cold HDD (sc1) deliver optimal performance only when I/O operations are large and sequential.
In the exam, always consider the difference between SSD and HDD as shown on the table below. This will allow you to easily eliminate specific EBS-types in the options which are not SSD or not HDD, depending on whether the question asks for a storage type which has small, random I/O operations or large, sequential I/O operations.

Provisioned IOPS SSD (io1) volumes are designed to meet the needs of I/O-intensive workloads, particularly database workloads, that are sensitive to storage performance and consistency. Unlike gp2, which uses a bucket and credit model to calculate performance, an io1 volume allows you to specify a consistent IOPS rate when you create the volume, and Amazon EBS delivers within 10 percent of the provisioned IOPS performance 99.9 percent of the time over a given year.

General Purpose SSD (gp2) is incorrect because although General Purpose is a type of SSD that can handle small, random I/O operations, the Provisioned IOPS SSD volumes are much more suitable to meet the needs of I/O-intensive database workloads such as MongoDB, Oracle, MySQL, and many others.
Throughput Optimized HDD (st1) and Cold HDD (sc1) are incorrect because HDD volumes (such as Throughput Optimized HDD and Cold HDD volumes) are more suitable for workloads with large, sequential I/O operations instead of small, random I/O operations. References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html#EBSVolumeTypes_pi ops
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ebs-io-characteristics.html Amazon EBS Overview - SSD vs HDD:
https://youtu.be/LW7x8wyLFvw
Check out this Amazon EBS Cheat Sheet:
https://tutorialsdojo.com/amazon-ebs/

NEW QUESTION # 39
A development team runs monthly resource-intensive tests on its general purpose Amazon RDS for MySQL DB instance with Performance Insights enabled. The testing lasts for 48 hours once a month and is the only process that uses the database. The team wants to reduce the cost of running the tests without reducing the compute and memory attributes of the DB instance.
Which solution meets these requirements MOST cost-effectively?

A. Stop the DB instance when tests are completed. Restart the DB instance when required.
B. Modify the DB instance to a low-capacity instance when tests are completed. Modify the DB instance again when required.
C. Create a snapshot when tests are completed. Terminate the DB instance and restore the snapshot when required.
D. Use an Auto Scaling policy with the DB instance to automatically scale when tests are completed.

Answer: A

NEW QUESTION # 40
A company needs to use its on-premises LDAP directory service to authenticate its users to the AWS Management Console. The directory service is not compatible with Security Assertion Markup Language (SAML).
Which solution meets these requirements?

A. Enable AWS 1AM Identity Center (AWS Single Sign-On) between AWS and the on-premises LDAP.
B. Create an 1AM policy that uses AWS credentials, and integrate the policy into LDAP.
C. Develop an on-premises custom identity broker application or process that uses AWS Security Token Service (AWS STS) to get short-lived credentials.
D. Set up a process that rotates the I AM credentials whenever LDAP credentials are updated.

Answer: C

Explanation:
The solution that meets the requirements is to develop an on-premises custom identity broker application or process that uses AWS Security Token Service (AWS STS) to get short-lived credentials. This solution allows the company to use its existing LDAP directory service to authenticate its users to the AWS Management Console, without requiring SAML compatibility. The custom identity broker application or process can act as a proxy between the LDAP directory service and AWS STS, and can request temporary security credentials for the users based on their LDAP attributes and roles. The users can then use these credentials to access the AWS Management Console via a sign-in URL generated by the identity broker. This solution also enhances security by using short-lived credentials that expire after a specified duration.
The other solutions do not meet the requirements because they either require SAML compatibility or do not provide access to the AWS Management Console. Enabling AWS IAM Identity Center (AWS Single Sign- On) between AWS and the on-premises LDAP would require the LDAP directory service to support SAML
2.0, which is not the case for this scenario. Creating an IAM policy that uses AWS credentials and integrating the policy into LDAP would not provide access to the AWS Management Console, but only to the AWS APIs. Setting up a process that rotates the IAM credentials whenever LDAP credentials are updated would also not provide access to the AWS Management Console, but only to the AWS CLI. Therefore, these solutions are not suitable for the given requirements.

NEW QUESTION # 41
[Design High-Performing Architectures]
A company hosts a serverless application on AWS. The application uses Amazon API Gateway, AWS Lambda, and an Amazon RDS for PostgreSQL database. The company notices an increase in application errors that result from database connection timeouts during times Of peak traffic or unpredictable traffic. The company needs a solution that reduces the application failures with the least amount of change to the code.
What should a solutions architect do to meet these requirements?

A. Migrate the database to Amazon DynamoDB with on-demand scaling.
B. Reduce the Lambda concurrency rate.
C. Resize the RDS DB instance class to accept more connections.
D. Enable RDS Proxy on the RDS DB instance.

Answer: D

Explanation:
Using RDS Proxy, you can handle unpredictable surges in database traffic. Otherwise, these surges might cause issues due to oversubscribing connections or creating new connections at a fast rate. RDS Proxy establishes a database connection pool and reuses connections in this pool. This approach avoids the memory and CPU overhead of opening a new database connection each time. To protect the database against oversubscription, you can control the number of database connections that are created.https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/rds-proxy.html

NEW QUESTION # 42
A solutions architect is designing a customer-facing application for a company. The application's database will have a clearly defined access pattern throughout the year and will have a variable number of reads and writes that depend on the time of year. The company must retain audit records for the database for 7 days. The recovery point objective (RPO) must be less than 5 hours.
Which solution meets these requirements?

A. Use Amazon DynamoDB with auto scaling Use on-demand backups and Amazon DynamoDB Streams
B. Use Amazon Aurora MySQL with auto scaling. Activate the database auditing parameter
C. Use Amazon Redshift. Configure concurrency scaling. Activate audit logging. Perform database snapshots every 4 hours.
D. Use Amazon RDS with Provisioned IOPS Activate the database auditing parameter Perform database snapshots every 5 hours

Answer: A

Explanation:
Explanation
This solution meets the requirements of a customer-facing application that has a clearly defined access pattern throughout the year and a variable number of reads and writes that depend on the time of year. Amazon DynamoDB is a fully managed NoSQL database service that can handle any level of request traffic and data size. DynamoDB auto scaling can automatically adjust the provisioned read and write capacity based on the actual workload. DynamoDB on-demand backups can create full backups of the tables for data protection and archival purposes. DynamoDB Streams can capture a time-ordered sequence of item-level modifications in the tables for audit purposes.
Option B is incorrect because Amazon Redshift is a data warehouse service that is designed for analytical workloads, not for customer-facing applications. Option C is incorrect because Amazon RDS with Provisioned IOPS can provide consistent performance for relational databases, but it may not be able to handle unpredictable spikes in traffic and data size. Option D is incorrect because Amazon Aurora MySQL with auto scaling can provide high performance and availability for relational databases, but it does not support audit logging as a parameter.
References:
* https://aws.amazon.com/dynamodb/
* https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html
* https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/BackupRestore.html
* https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

NEW QUESTION # 43
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Jon Reed Jon Reed

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