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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q150-Q155):

NEW QUESTION # 150
An ecommerce company has an order-processing application that uses Amazon API Gateway and an AWS Lambda function. The application stores data in an Amazon Aurora PostgreSQL database. During a recent sales event, a sudden surge in customer orders occurred. Some customers experienced timeouts and the application did not process the orders of those customers A solutions architect determined that the CPU utilization and memory utilization were high on the database because of a large number of open connections The solutions architect needs to prevent the timeout errors while making the least possible changes to the application.
Which solution will meet these requirements?

A. Use Amazon RDS Proxy to create a proxy for the database Modify the Lambda function to use the RDS Proxy endpoint instead of the database endpoint
B. Create a read replica for the database in a different AWS Region Use query string parameters in API Gateway to route traffic to the read replica
C. Migrate the data from Aurora PostgreSQL to Amazon DynamoDB by using AWS Database Migration Service (AWS DMS| Modify the Lambda function to use the OynamoDB table
D. Configure provisioned concurrency for the Lambda function Modify the database to be a global database in multiple AWS Regions

Answer: A

Explanation:
Many applications, including those built on modern serverless architectures, can have a large number of open connections to the database server and may open and close database connections at a high rate, exhausting database memory and compute resources. Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability. https://aws.amazon.com/id/rds/proxy/

NEW QUESTION # 151
A company runs an online order management system on AWS. The company stores order and inventory data for the previous 5 years in an Amazon Aurora MySQL database. The company deletes inventory data after 5 years.
The company wants to optimize costs to archive data.
Options:

A. Create an AWS Glue DataBrew Job to migrate data from Aurora to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.
B. Use the AWS Schema Conversion Tool (AWS SCT) to replicate data from Aurora to Amazon S3. Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class.
C. Create an AWS Glue crawler to export data to Amazon S3. Create an AWS Lambda function to compress the data.
D. Use the SELECT INTO OUTFILE S3 query on the Aurora database to export the data to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

Answer: D

Explanation:
The SELECT INTO OUTFILE S3 feature allows you to export Amazon Aurora MySQL data directly to Amazon S3 with minimal operational overhead. This method is efficient and cost-effective for archiving historical data.
You can configure S3 Lifecycle rules to transition the exported data to lower-cost storage (e.g., S3 Glacier or S3 Standard-IA) and eventually delete it after 5 years.
No need for additional ETL tools like Glue or DataBrew unless complex transformations are required.
Reference:
Exporting data from Aurora MySQL to S3

NEW QUESTION # 152
A financial services company wants to shut down two data centers and migrate more than 100 TB of data to AWS. The data has an intricate directory structure with millions of small files stored in deep hierarchies of subfolders. Most of the data is unstructured, and the company's file storage consists of SMB-based storage types from multiple vendors. The company does not want to change its applications to access the data after migration.
What should a solutions architect do to meet these requirements with the LEAST operational overhead?

A. Use AWS DataSync to migrate the data to Amazon FSx for Windows File Server.
B. Use AWS DataSync to migrate the data to Amazon FSx for Lustre.
C. Use AWS Direct Connect to migrate the data on-premises file storage to an AWS Storage Gateway volume gateway.
D. Use AWS Direct Connect to migrate the data to Amazon S3.

Answer: A

Explanation:
AWS DataSync is a data transfer service that simplifies, automates, and accelerates moving data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect1. AWS DataSync can transfer data to Amazon FSx for Windows File Server, which is a fully managed file system that is accessible over the industry-standard Server Message Block (SMB) protocol. Amazon FSx for Windows File Server is built on Windows Server, delivering a wide range of administrative features such as user quotas, end-user file restore, and Microsoft Active Directory (AD) integration2. This solution meets the requirements of the question because:
It can migrate more than 100 TB of data to AWS within a reasonable time frame, as AWS DataSync is optimized for high-speed and efficient data transfer1.
It can preserve the intricate directory structure and the millions of small files stored in deep hierarchies of subfolders, as AWS DataSync can handle complex file structures and metadata, such as file names, permissions, and timestamps1.
It can avoid changing the applications to access the data after migration, as Amazon FSx for Windows File Server supports the same SMB protocol and Windows Server features that the company's on-premises file storage uses2.
It can reduce the operational overhead, as AWS DataSync and Amazon FSx for Windows File Server are fully managed services that handle the tasks of setting up, configuring, and maintaining the data transfer and the file system12.

NEW QUESTION # 153
A company plans to use an Amazon S3 bucket to archive backup data. Regulations require the company to retain the backup data for 7 years.
During the retention period, the company must prevent users, including administrators, from deleting the data.
The company can delete the data after 7 years.
Which solution will meet these requirements?

A. Create an S3 Object Lock default retention policy that retains data for 7 years in compliance mode.
Create an S3 Lifecycle policy to delete the data after 7 years.
B. Create an S3 bucket policy that denies delete operations for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.
C. Create an S3 Object Lock default retention policy that retains data for 7 years in governance mode.
Create an S3 Lifecycle policy to delete the data after 7 years.
D. Create an S3 Batch Operations job to set a legal hold on each object for 7 years. Create an S3 Lifecycle policy to delete the data after 7 years.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent data deletion by any user, including administrators, for 7 years while allowing automatic deletion afterward.
S3 Object Lock in Compliance Mode (Correct Choice - C)
Compliance mode ensures that even the root user cannot delete or modify the objects during the retention period.
After 7 years, the S3 Lifecycle policy automatically deletes the objects.
This meets bothimmutability and automatic deletionrequirements.
Governance Mode (Option B - Incorrect)
Governance mode prevents deletion,but administrators can override it.
The requirement explicitly states thateven administrators must not be able to delete the data.
S3 Bucket Policy (Option A - Incorrect)
An S3 bucket policy candeny deletes, but policies can be modified at any time by administrators.
It does not enforce strict retention like Object Lock.
S3 Batch Operations Job (Option D - Incorrect)
A legal hold does not have an automatic expiration.
Legal holds must be manually removed, which is not efficient.
Why Option C is Correct:
S3 Object Lock in Compliance Mode prevents deletion by all users, including administrators.
The S3 Lifecycle policy deletes the data automatically after 7 years, reducing operational overhead.
References:
S3 Object Lock Compliance Mode
S3 Lifecycle Policies

NEW QUESTION # 154
[Design Secure Architectures]
A company has an application that serves clients that are deployed in more than 20.000 retail storefront locations around the world. The application consists of backend web services that are exposed over HTTPS on port 443 The application is hosted on Amazon EC2 Instances behind an Application Load Balancer (ALB). The retail locations communicate with the web application over the public internet. The company allows each retail location to register the IP address that the retail location has been allocated by its local ISP.
The company's security team recommends to increase the security of the application endpoint by restricting access to only the IP addresses registered by the retail locations.
What should a solutions architect do to meet these requirements?

A. Store the IP addresses in an Amazon DynamoDB table. Configure an AWS Lambda authorization function on the ALB to validate that incoming requests are from the registered IP addresses.
B. Associate an AWS WAF web ACL with the ALB Use IP rule sets on the ALB to filter traffic Update the IP addresses in the rule to Include the registered IP addresses
C. Deploy AWS Firewall Manager to manage the ALB. Configure firewall rules to restrict traffic to the ALB Modify the firewall rules to include the registered IP addresses.
D. Configure the network ACL on the subnet that contains the public interface of the ALB Update the ingress rules on the network ACL with entries for each of the registered IP addresses.

Answer: B

Explanation:
AWS WAF (Web Application Firewall): AWS WAF allows you to create custom rules to block or allow web requests based on conditions that you specify.
Web ACL (Access Control List):
Create a web ACL and associate it with the ALB.
Use IP rule sets to specify the IP addresses of the retail locations that are allowed to access the application.
Security and Flexibility:
AWS WAF provides a scalable way to manage access control, ensuring that only traffic from registered IP addresses is allowed.
You can dynamically update the IP rule sets to add or remove IP addresses as needed.
Operational Simplicity: Using AWS WAF with a web ACL is straightforward and integrates seamlessly with the ALB, providing an efficient solution for managing access control based on IP addresses.
Reference:
AWS WAF
How AWS WAF Works

NEW QUESTION # 155
......

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Keith Lee Keith Lee

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