Amazon Web Services dumpsboss changed Saa-c03 Exam Questions by Trent q241 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	527 Q&A's	Shared By:	trent

Question 56

An online food delivery company wants to optimize its storage costs. The company has been collecting operational data for the last 10 years in a data lake that was built on Amazon S3 by using a Standard storage class. The company does not keep data that is older than 7 years. A solutions architect frequently uses data from the past 6 months for reporting and runs queries on data from the last 2 years about once a month. Data that is more than 2 years old is rarely accessed and is only used for audit purposes.

Which combination of solutions will optimize the company's storage costs? (Select TWO.)

Options:

Create an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create another S3 Lifecycle configuration rule to transition data that is older than 2 years to the S3 Glacier Deep Archive storage class.

Create an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class. Create another S3 Lifecycle configuration rule to transition data that is older than 2 years to the S3 Glacier Flexible Retrieval storage class.

Use the S3 Intelligent-Tiering storage class to store data instead of the S3 Standard storage class.

Create an S3 Lifecycle expiration rule to delete data that is older than 7 years.

Create an S3 Lifecycle configuration rule to transition data that is older than 7 years to the S3 Glacier Deep Archive storage class.

Discussion

Question 57

A company needs to migrate a MySQL database from an on-premises data center to AWS within 2 weeks. The database is 180 TB in size. The company cannot partition the database.

The company wants to minimize downtime during the migration. The company's internet connection speed is 100 Mbps.

Which solution will meet these requirements?

Options:

Order an AWS Snowball Edge Storage Optimized device. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS for MySQL and replicate ongoing changes. Send the Snowball Edge device back to AWS to finish the migration. Continue to replicate ongoing changes.

Establish an AWS Site-to-Site VPN connection between the data center and AWS. Use AWS Database Migration Service (AWS DMS) and the AWS Schema Conversion Tool (AWS SCT) to migrate the database to Amazon RDS tor MySQL and replicate ongoing changes.

Establish a 10 Gbps dedicated AWS Direct Connect connection between the data center and AWS. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.

Use the company's existing internet connection. Use AWS DataSync to replicate the database to Amazon S3. Create a script to import the data from Amazon S3 to a new Amazon RDS for MySQL database instance.

Discussion

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Question 58

A company wants to provide users with access to AWS resources. The company has 1,500 users and manages their access to on-premises resources through Active Directory user groups on the corporate network. However, the company does not want users to have to maintain another identity to access the resources. A solutions architect must manage user access to the AWS resources while preserving access to the on-premises resources.

What should the solutions architect do to meet these requirements?

Options:

Create an IAM user for each user in the company. Attach the appropriate policies to each user.

Use Amazon Cognito with an Active Directory user pool. Create roles with the appropriate policies attached.

Define cross-account roles with the appropriate policies attached. Map the roles to the Active Directory groups.

Configure Security Assertion Markup Language (SAML) 2.0-based federation. Create roles with the appropriate policies attached. Map the roles to the Active Directory groups.

Discussion

Question 59

A solutions architect needs to host a high performance computing (HPC) workload in the AWS Cloud. The workload will run on hundreds of Amazon EC2 instances and will require parallel access to a shared file system to enable distributed processing of large datasets. Datasets will be accessed across multiple instances simultaneously. The workload requires access latency within 1 ms. After processing has completed, engineers will need access to the dataset for manual postprocessing.

Which solution will meet these requirements?

Options:

Use Amazon Elastic File System (Amazon EFS) as a shared fie system. Access the dataset from Amazon EFS.

Mount an Amazon S3 bucket to serve as the shared file system. Perform postprocessing directly from the S3 bucket.

Use Amazon FSx for Lustre as a shared file system. Link the file system to an Amazon S3 bucket for postprocessing.

Configure AWS Resource Access Manager to share an Amazon S3 bucket so that it can be mounted to all instances for processing and postprocessing.

Discussion

Answer:

Explanation:

Amazon FSx for Lustre is the ideal solution for high-performance computing (HPC) workloads that require parallel access to a shared file system with low latency. FSx for Lustre is designed specifically to meet the needs of such workloads, offering sub-millisecond latencies, which makes it well-suited for the 1 ms latency requirement mentioned in the question.

Here is why FSx for Lustre is the best fit:

Parallel File System: FSx for Lustre is a parallel file system that can scale across hundreds of Amazon EC2 instances, providing high throughput and low-latency access to data. It is optimized for processing large datasets in parallel, which is essential for HPC workloads.

Low Latency: FSx for Lustre is capable of providing access latencies well within 1 ms, making it ideal for performance-sensitive workloads like HPC.

Seamless Integration with Amazon S3: FSx for Lustre can be linked to an Amazon S3 bucket. This integration allows data to be imported from S3 into FSx for Lustre before the workload begins and exported back to S3 after processing. This feature is crucial for manual postprocessing because it enables engineers to access the dataset in S3 after processing.

Performance: FSx for Lustre is built for workloads that require high performance, such as machine learning, analytics, media processing, and financial simulations, which are typical for HPC environments.

In contrast:

Amazon EFS (Option A): While EFS provides shared file storage and scales across multiple EC2 instances, it does not offer the same level of performance or sub-millisecond latencies as FSx for Lustre. EFS is more suited for general-purpose workloads, not high-performance computing.

Mounting S3 as a file system (Option B and D): S3 is object storage, not a file system designed for low-latency access and parallel processing. Mounting S3 buckets directly or using AWS Resource Access Manager to share the bucket would not meet the low-latency (1 ms) or performance requirements needed for HPC workloads.

Therefore, Amazon FSx for Lustre (Option C) is the most appropriate and verified solution for this scenario.

AWS References:

Amazon FSx for Lustre

Best Practices for High Performance Computing (HPC)

Amazon FSx and Amazon S3 Integration

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