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Free PDF Quiz Unparalleled Amazon - SAA-C03 - Exam AWS Certified Solutions Architect - Associate Study Guide
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Quiz High Hit-Rate SAA-C03 - Exam AWS Certified Solutions Architect - Associate Study Guide
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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is designed for IT professionals who want to establish their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) platform. SAA-C03 exam is intended for individuals who have experience working with AWS services and possess foundational knowledge of AWS cloud computing.
Amazon SAA-C03 Certification Exam is a highly sought-after certification for IT professionals seeking to demonstrate their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on Amazon Web Services (AWS) cloud platform. AWS Certified Solutions Architect - Associate certification exam is designed to validate the candidate's ability to architect and deploy secure and robust applications on the AWS platform, using best practices and industry-standard techniques.
Amazon SAA-C03 Exam is ideal for individuals who are interested in pursuing a career in AWS cloud computing or for those who want to enhance their skills and knowledge in this area. AWS Certified Solutions Architect - Associate certification validates the candidate's ability to design and deploy AWS-based applications and systems that meet the requirements of organizations of all sizes. AWS Certified Solutions Architect - Associate certification also enhances the candidate's marketability and opens up new career opportunities.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q206-Q211):
NEW QUESTION # 206
A company's reporting system delivers hundreds of .csv files to an Amazon S3 bucket each day. The company must convert these files to Apache Parquet format and must store the files in a transformed data bucket.
Which solution will meet these requirements with the LEAST development effort?
- A. Use AWS Batch to create a job definition with Bash syntax to transform the data and output the data to the transformed data bucket. Use the job definition to submit a job. Specify an array job as the job type.
- B. Create an Amazon EMR cluster with Apache Spark installed. Write a Spark application to transform the data. Use EMR File System (EMRFS) to write files to the transformed data bucket.
- C. Create an AWS Lambda function to transform the data and output the data to the transformed data bucket. Configure an event notification for the S3 bucket. Specify the Lambda function as the destination for the event notification.
- D. Create an AWS Glue crawler to discover the data. Create an AWS Glue extract, transform, and load (ETL) job to transform the data. Specify the transformed data bucket in the output step.
Answer: D
Explanation:
AWS Glue provides a serverless ETL solution requiring minimal development. Glue supports conversion to Parquet with managed jobs and integrates with S3 for output.
AWS Documentation References:
* AWS Glue Overview
NEW QUESTION # 207
A company has an ecommerce checkout workflow that writes an order to a database and calls a service to process the payment. Users are experiencing timeouts during the checkout process. When users resubmit the checkout form, multiple unique orders are created for the same desired transaction.
How should a solutions architect refactor this workflow to prevent the creation of multiple orders?
- A. Store the order in the database. Send a message that includes the order number to Amazon Simple Notification Service (Amazon SNS). Set the payment service to poll Amazon SNS. retrieve the message, and process the order.
- B. Configure the web application to send an order message to Amazon Kinesis Data Firehose. Set the payment service to retrieve the message from Kinesis Data Firehose and process the order.
- C. Create a rule in AWS CloudTrail to invoke an AWS Lambda function based on the logged application path request Use Lambda to query the database, call the payment service, and pass in the order information.
- D. Store the order in the database. Send a message that includes the order number to an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Set the payment service to retrieve the message and process the order. Delete the message from the queue.
Answer: D
Explanation:
Explanation
This approach ensures that the order creation and payment processing steps are separate and atomic. By sending the order information to an SQS FIFO queue, the payment service can process the order one at a time and in the order they were received. If the payment service is unable to process an order, it can be retried later, preventing the creation of multiple orders. The deletion of the message from the queue after it is processed will prevent the same message from being processed multiple times.
NEW QUESTION # 208
[Design Secure Architectures]
A company is implementing a new application on AWS. The company will run the application on multiple Amazon EC2 instances across multiple Availability Zones within multiple AWS Regions. The application will be available through the internet. Users will access the application from around the world.
The company wants to ensure that each user who accesses the application is sent to the EC2 instances that are closest to the user's location.
Which solution will meet these requirements?
- A. Implement an Amazon Route 53 multivalue answer routing policy Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- B. Implement an Amazon Route 53 geoproximity routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- C. Implement an Amazon Route 53 geolocation routing policy. Use an internet-facing Application Load Balancer to distribute the traffic across all Availability Zones within the same Region.
- D. Implement an Amazon Route 53 weighted routing policy. Use an internet-facing Network Load Balancer to distribute the traffic across all Availability Zones within the same Region.
Answer: C
Explanation:
The requirement is to route users to the nearest AWS Region where the application is deployed. The best solution is to use Amazon Route 53 with a geolocation routing policy, which routes traffic based on the geographic location of the user making the request.
Geolocation Routing: This routing policy ensures that users are directed to the resources (in this case, EC2 instances) that are geographically closest to them, thereby reducing latency and improving the user experience.
Application Load Balancer (ALB): Within each Region, an internet-facing Application Load Balancer (ALB) is used to distribute incoming traffic across multiple EC2 instances in different Availability Zones. ALBs are designed to handle HTTP/HTTPS traffic and provide advanced features like content-based routing, SSL termination, and user authentication.
Why Not Other Options?:
Option B (Geoproximity + NLB): Geoproximity routing is similar but more complex as it requires fine-tuning the proximity settings. A Network Load Balancer (NLB) is better suited for TCP/UDP traffic rather than HTTP/HTTPS.
Option C (Multivalue Answer Routing + ALB): Multivalue answer routing does not direct traffic based on user location but rather returns multiple values and lets the client choose. This does not meet the requirement for geographically routing users.
Option D (Weighted Routing + NLB): Weighted routing splits traffic based on predefined weights and does not consider the user's geographic location. NLB is not ideal for this scenario due to its focus on lower-level protocols.
AWS Reference:
Amazon Route 53 Routing Policies- Detailed explanation of the various routing policies available in Route 53, including geolocation.
Elastic Load Balancing- Information on the different types of load balancers in AWS and when to use them.
NEW QUESTION # 209
A digital image processing company wants to migrate its on-premises monolithic application to the AWS Cloud. The company processes thousands of images and generates large files as part of the processing workflow.
The company needs a solution to manage the growing number of image processing jobs. The solution must also reduce the manual tasks in the image processing workflow. The company does not want to manage the underlying infrastructure of the solution.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Deploy a group of Amazon EC2 instances to process the images. Use AWS Step Functions to orchestrate the workflow. Store the processed files in an Amazon Elastic Block Store (Amazon EBS) volume.
- B. Use AWS Lambda functions and Amazon EC2 Spot Instances lo process the images. Store the processed files in Amazon FSx.
- C. Use AWS Batch jobs to process the images. Use AWS Step Functions to orchestrate the workflow.
Store the processed files in an Amazon S3 bucket. - D. Use Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 Spot Instances to process the images. Configure Amazon Simple Queue Service (Amazon SQS) to orchestrate the workflow. Store the processed files in Amazon Elastic File System (Amazon EFS)
Answer: C
Explanation:
For processing thousands of images and generating large files while minimizing manual tasks and operational overhead, using AWS Batch is the best solution. AWS Batch allows you to run large-scale, parallel, and managed batch computing jobs without needing to manage the underlying infrastructure.
* AWS Batch: Automates the image processing jobs, dynamically allocating the necessary resources based on the job requirements, which reduces operational overhead.
* AWS Step Functions: Orchestrates the entire image processing workflow, ensuring that tasks are executed in the correct sequence, improving manageability.
* Amazon S3: Stores the processed files, providing scalable and cost-effective storage.
* Option A (ECS with EC2 Spot Instances): While cost-effective, managing ECS and Spot Instances involves more operational effort.
* Option C (Lambda with EC2 Spot): Lambda functions have size and duration limitations, making them less suited for large image processing tasks.
* Option D (EC2 with Step Functions): Managing EC2 instances involves more overhead than using AWS Batch.
AWS References:
* AWS Batch
* AWS Step Functions
NEW QUESTION # 210
[Design Secure Architectures]
A company is running a highly sensitive application on Amazon EC2 backed by an Amazon RDS database Compliance regulations mandate that all personally identifiable information (Pll) be encrypted at rest.
Which solution should a solutions architect recommend to meet this requirement with the LEAST amount of changes to the infrastructure?
- A. Deploy AWS Certificate Manager to generate certificates Use the certificates to encrypt the database volume
- B. Configure SSL encryption using AWS Key Management Service {AWS KMS) keys to encrypt database volumes.
- C. Configure Amazon Elastic Block Store (Amazon EBS) encryption and Amazon RDS encryption with AWS Key Management Service (AWS KMS) keys to encrypt instance and database volumes.
- D. Deploy AWS CloudHSM. generate encryption keys, and use the keys to encrypt database volumes.
Answer: C
Explanation:
EBS Encryption:
Default EBS Encryption: Can be enabled for new EBS volumes.
Use of AWS KMS: Specify AWS KMS keys to handle encryption and decryption of data transparently.
Amazon RDS Encryption:
RDS Encryption: Encrypts the underlying storage for RDS instances using AWS KMS.
Configuration: Enable encryption when creating the RDS instance or modify an existing instance to enable encryption.
Least Amount of Changes:
Both EBS and RDS support seamless encryption with AWS KMS, requiring minimal changes to the existing infrastructure.
Enables compliance with regulatory requirements without modifying the application.
Operational Efficiency: Using AWS KMS for both EBS and RDS ensures a consistent, managed approach to encryption, simplifying key management and enhancing security.
Reference:
Amazon EBS Encryption
Amazon RDS Encryption
AWS Key Management Service
NEW QUESTION # 211
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