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Free PDF 2023 Amazon SAA-C03 Newest New Exam Materials
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The Amazon SAA-C03 certification exam is designed for individuals who want to become skilled in the design and deployment of scalable, fault-tolerant, and highly available systems on Amazon Web Services (AWS) cloud. This certification is ideal for solution architects, system administrators, and developers who want to validate their knowledge and expertise in AWS infrastructure, services, and best practices. The SAA-C03 exam is the updated version of the previous SAA-C02 certification exam and is considered one of the most sought-after certifications in the cloud computing industry.

The Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) exam is a certification exam designed to test the skills and knowledge of individuals who want to become an AWS Certified Solutions Architect. The exam is intended for individuals who have experience designing distributed systems on the AWS platform and have a deep understanding of AWS services and their integration with one another. Successful completion of this exam demonstrates that a candidate has a deep understanding of AWS services and can design scalable, reliable, and cost-efficient solutions.

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q308-Q313):

NEW QUESTION # 308
A financial analytics application that collects, processes and analyzes stock data in real-time is using Kinesis Data Streams. The producers continually push data to Kinesis Data Streams while the consumers process the data in real time. In Amazon Kinesis, where can the consumers store their results? (Select TWO.)

  • A. Amazon Athena
  • B. AWS Glue
  • C. Amazon Redshift
  • D. Amazon S3
  • E. Glacier Select

Answer: C,D

Explanation:
In Amazon Kinesis, the producers continually push data to Kinesis Data Streams and the consumers process the data in real time. Consumers (such as a custom application running on Amazon EC2, or an Amazon Kinesis Data Firehose delivery stream) can store their results using an AWS service such as Amazon DynamoDB, Amazon Redshift, or Amazon S3.
Hence, Amazon S3 and Amazon Redshift are the correct answers. The following diagram illustrates the high-level architecture of Kinesis Data Streams:

Glacier Select is incorrect because this is not a storage service. It is primarily used to run queries directly on data stored in Amazon Glacier, retrieving only the data you need out of your archives to use for analytics.
AWS Glue is incorrect because this is not a storage service. It is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics.
Amazon Athena is incorrect because this is just an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. It is not a storage service where you can store the results processed by the consumers.
Explanation:
Reference:
http://docs.aws.amazon.com/streams/latest/dev/key-concepts.html
Amazon Redshift Overview:
https://youtu.be/jlLERNzhHOg
Check out this Amazon Kinesis Cheat Sheet:
https://tutorialsdojo.com/amazon-kinesis/


NEW QUESTION # 309
A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?

  • A. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.
  • B. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway Create an S3 bucket Create a new NFS file share on the S3 File Gateway Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
  • C. Create an S3 bucket Create an 1AM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.
  • D. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interlace (VIF) to connect to the S3 File Gateway.
    Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.

Answer: B


NEW QUESTION # 310
A company is using a combination of API Gateway and Lambda for the web services of the online web portal that is being accessed by hundreds of thousands of clients each day. They will be announcing a new revolutionary product and it is expected that the web portal will receive a massive number of visitors all around the globe.
How can you protect the backend systems and applications from traffic spikes?

  • A. API Gateway will automatically scale and handle massive traffic spikes so you do not have to do anything.
  • B. Deploy Multi-AZ in API Gateway with Read Replica
  • C. Manually upgrade the EC2 instances being used by API Gateway
  • D. Use throttling limits in API Gateway

Answer: D

Explanation:
Amazon API Gateway provides throttling at multiple levels including global and by a service call.
Throttling limits can be set for standard rates and bursts. For example, API owners can set a rate limit of 1000 requests per second for a specific method in their REST APIs, and also configure Amazon API Gateway to handle a burst of 2,000 requests per second for a few seconds.
Amazon API Gateway tracks the number of requests per second. Any requests over the limit will receive a 429 HTTP response. The client SDKs generated by Amazon API Gateway retry calls automatically when met with this response.


Hence, the correct answer is: Use throttling limits in API Gateway.
The option that says: API Gateway will automatically scale and handle massive traffic spikes so you do not have to do anything is incorrect. Although it can scale using AWS Edge locations, you still need to configure the throttling to further manage the bursts of your APIs.
Manually upgrading the EC2 instances being used by API Gateway is incorrect because API Gateway is a fully managed service and hence, you do not have access to its underlying resources.
Deploying Multi-AZ in API Gateway with Read Replica is incorrect because RDS has Multi-AZ and Read Replica capabilities, and not API Gateway.
Explanation:
Reference:
https://aws.amazon.com/api-gateway/faqs/#Throttling_and_Caching
Check out this Amazon API Gateway Cheat Sheet:
https://tutorialsdojo.com/amazon-api-gateway/


NEW QUESTION # 311
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. Modify the DB instance to a low-capacity instance when tests are completed. Modify the DB instance again when required.
  • B. Use an Auto Scaling policy with the DB instance to automatically scale when tests are completed.
  • C. Stop the DB instance when tests are completed. Restart the DB instance when required.
  • D. Create a snapshot when tests are completed. Terminate the DB instance and restore the snapshot when required.

Answer: C


NEW QUESTION # 312
A company is designing a cloud communications platform that is driven by APIs. The application is hosted on Amazon EC2 instances behind a Network Load Balancer (NLB). The company uses Amazon API Gateway to provide external users with access to the application through APIs. The company wants to protect the platform against web exploits like SQL injection and also wants to detect and mitigate large, sophisticated DDoS attacks.
Which combination of solutions provides the MOST protection? (Select TWO.)

  • A. Use AWS WAF to protect the NLB.
  • B. Use Amazon GuardDuty with AWS Shield Standard.
  • C. Use AWS Shield Standard with Amazon API Gateway.
  • D. Use AWS WAF to protect Amazon API Gateway.
  • E. Use AWS Shield Advanced with the NLB.

Answer: C,D


NEW QUESTION # 313
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