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The AWS-Solutions-Associate certification exam is a highly respected credential in the IT industry, and it is recognized globally. It is an entry-level certification that prepares candidates for more advanced certifications, such as the AWS Certified Solutions Architect - Professional. Earning this certification can open up several career opportunities, including Cloud Architect, Cloud Engineer, DevOps Engineer, and Solutions Architect. Moreover, it can also lead to higher salaries and better job prospects.

The AWS Certified Solutions Architect - Associate exam is a challenging exam that requires a deep understanding of AWS services and solutions. Candidates must have hands-on experience with AWS services and must be able to design and deploy scalable, highly available, and fault-tolerant systems on AWS. To prepare for the exam, candidates can take AWS training courses and practice using AWS services. Passing the AWS Certified Solutions Architect - Associate exam is a valuable achievement for professionals who want to demonstrate their expertise in designing and deploying secure and robust applications on AWS technologies.

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The AWS-Solutions-Architect-Associate exam is a multiple-choice exam that consists of 65 questions, which must be answered within 130 minutes. The questions are designed to test an individual's knowledge and understanding of AWS services and their ability to apply that knowledge to real-world scenarios. The passing score for the exam is 720 out of 1000.

Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q318-Q323):

NEW QUESTION # 318
A company is running an SMB file server in its data center. The file server stores large files that are accessed frequently for the first few days after the files are created. After 7 days the files are rarely accessed.
The total data size is increasing and is close to the company's total storage capacity. A solutions architect must increase the company's available storage space without losing low-latency access to the most recently accessed files. The solutions architect must also provide file lifecycle management to avoid future storage issues.
Which solution will meet these requirements?

* A. Create an Amazon FSx for Windows File Server file system to extend the company's storage space.
* B. Install a utility on each user's computer to access Amazon S3. Create an S3 Lifecycle policy to transition the data to S3 Glacier Flexible Retrieval after 7 days.
* C. Use AWS DataSync to copy data that is older than 7 days from the SMB file server to AWS.
* D. Create an Amazon S3 File Gateway to extend the company's storage space. Create an S3 Lifecycle policy to transition the data to S3 Glacier Deep Archive after 7 days.
Answer: D

Explanation:
Explanation
Amazon S3 File Gateway is a hybrid cloud storage service that enables on-premises applications to seamlessly use Amazon S3 cloud storage. It provides a file interface to Amazon S3 and supports SMB and NFS protocols.
It also supports S3 Lifecycle policies that can automatically transition data from S3 Standard to S3 Glacier Deep Archive after a specified period of time. This solution will meet the requirements of increasing the company's available storage space without losing low-latency access to the most recently accessed files and providing file lifecycle management to avoid future storage issues.
Reference: https://docs.aws.amazon.com/storagegateway/latest/userguide/WhatIsStorageGateway.html

NEW QUESTION # 319
A telemarketing company is designing its customer call center functionality on AWS. The company needs a solution that provides multiples speaker recognition and generates transcript files The company wants to query the transcript files to analyze the business patterns The transcript files must be stored for 7 years for auditing piloses.
Which solution will meet these requirements?

* A. Use Amazon Translate lor multiple speaker recognition. Store the transcript files in Amazon Redshift Use SQL queues lor transcript file analysis
* B. Use Amazon Recognition for multiple speaker recognition. Store the transcript files in Amazon S3 Use machine teaming models for transcript file analysis
* C. Use Amazon Transcribe for multiple speaker recognition. Use Amazon Athena for transcript file analysts
* D. Use Amazon Recognition for multiple speaker recognition. Store the transcript files in Amazon S3 Use Amazon Textract for transcript file analysis
Answer: C

Explanation:
Amazon Transcribe now supports speaker labeling for streaming transcription. Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for you to convert speech-to-text. In live audio transcription, each stream of audio may contain multiple speakers. Now you can conveniently turn on the ability to label speakers, thus helping to identify who is saying what in the output transcript.
https://aws.amazon.com/about-aws/whats-new/2020/08/amazon-transcribe-supports-speaker-labeling-streaming-

NEW QUESTION # 320
A company maintains a searchable repository of items on its website Tie data is stored in an Amazon RDS for MySQL database table that contains over 10 million rows The database has 2 TB of General Purpose SSD (gp2) storage. There are millions of updates against this data every day through the company's website The company has noticed some operations are taking 10 seconds or longer and has determined that the database storage performance is the bottleneck Which solution addresses the performance issue?

* A. Enable Multi-AZ RDS read replicas with MySQL native asynchronous replication
* B. Change the instance to a memory-optimized instance class
* C. Change the storage type to Provisioned IOPS SSD (io1)
* D. Change the instance to a burstable performance DB instance class
Answer: B

NEW QUESTION # 321
What is the maximum response time for a Business level Premium Support case?

* A. 1 hour
* B. 12 hours
* C. 120 seconds
* D. 10 minutes
Answer: A

NEW QUESTION # 322
A company serves content to its subscribers across the world using an application running on AWS The application has several Amazon EC2 instances in a private subnet behind an Application Load Balancer (AL emoticon

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