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Title: Pass Guaranteed Amazon - SAA-C03 - AWS Certified Solutions Architect - Associate
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q715-Q720):NEW QUESTION # 715
The company you are working for has a set of AWS resources hosted in ap-northeast-1 region. You have been asked by your IT Manager to create an AWS CLI shell script that will call an AWS service which could create duplicate resources in another region in the event that ap-northeast-1 region fails.
The duplicated resources should also contain the VPC Peering configuration and other networking components from the primary stack.
Which of the following AWS services could help fulfill this task?
Answer: D
Explanation:
AWS CloudFormation is a service that helps you model and set up your Amazon Web Services resources so that you can spend less time managing those resources and more time focusing on your applications that run in AWS.

You can create a template that describes all the AWS resources that you want (like Amazon EC2 instances or Amazon RDS DB instances), and AWS CloudFormation takes care of provisioning and configuring those resources for you. With this, you can deploy an exact copy of your AWS architecture, along with all of the AWS resources which are hosted in one region to another. Hence, the correct answer is AWS CloudFormation.
AWS Elastic Beanstalk is incorrect. Elastic Beanstalk is a high-level service that simplifies the creation of application resources such as an EC2 instance with preconfigured proxy servers (Nginx or Apache), a load balancer, an auto-scaling group, and so on. Elastic Beanstalk environments have limited resources; for example, Elastic Beanstalk does not create a VPC for you. CloudFormation on the other hand is more of a low-level service that you can use to model the entirety of your AWS environment. In fact, Elastic Beanstalk uses CloudFormation under the hood to create resources.
Amazon SQS and Amazon SNS are both incorrect because SNS and SQS are just messaging services.
References:
https://docs.aws.amazon.com/AWSC ... rGuide/Welcome.html
https://docs.aws.amazon.com/AWSC ... creating-stack.html Check out this AWS CloudFormation Cheat Sheet:
https://tutorialsdojo.com/aws-cloudformation/
AWS CloudFormation - Templates, Stacks, Change Sets:
https://youtu.be/9Xpuprxg7aY

NEW QUESTION # 716
A company generates approximately 20 GB of data multiple times each day. The company uses AWS DataSync to copy all data from on-premises storage to Amazon S3 every 6 hours for further processing. The analytics team wants to modify the copy process to copy only data relevant to the analytics team and ignore the rest of the data. The team wants to copy data as soon as possible and receive a notification when the copy process is finished. Which combination of steps will meet these requirements MOST cost-effectively? (Select THREE.)
Answer: A,D,E
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
To meet the requirements of copying only relevant data as soon as possible and receiving notifications upon completion, the following steps are recommended:
* Generate a Manifest File (Option A):
* Action:Modify the on-premises data generation process to create a manifest file at the end of each data generation cycle. This manifest should list the names of the objects that need to be copied to Amazon S3.
* Implementationevelop a custom script that runs after data generation. This script compiles the list of relevant data files into a manifest file and uploads it to a designated S3 bucket.
* Justification:Using a manifest allows AWS DataSync to transfer only the specified files, reducing unnecessary data transfer and associated costs.
docs.aws.amazon.com
* Automate DataSync Task Execution (Option D):
* Action:Set up an S3 Event Notification to trigger an AWS Lambda function whenever a new manifest file is uploaded to the S3 bucket.
* Implementation:Configure the Lambda function to invoke the DataSync task by calling the StartTaskExecution API action, specifying the manifest file. This ensures that only the files listed in the manifest are copied from on-premises storage to Amazon S3.
* Justification:This automation ensures timely data transfer as soon as relevant data is available, minimizing delays and manual intervention.
docs.aws.amazon.com
* Set Up Completion Notifications (Option E):
* Action:Create an Amazon SNS topic to handle notifications. Then, establish an Amazon EventBridge rule that monitors the DataSync task execution status and sends an email notification to the SNS topic when the status changes to SUCCESS or ERROR.
* Implementation:Configure EventBridge to capture state changes of the DataSync task. When a task completes successfully or encounters an error, EventBridge triggers a notification to the SNS topic, which then sends an email to the subscribed recipients.
* Justification:This setup provides immediate feedback on the data transfer process, allowing the analytics team to act promptly based on the success or failure of the data copy operation.
docs.aws.amazon.com
References:
AWS DataSync User Guide:Transferring specific files or objects by using a manifest AWS DataSync API Reference:StartTaskExecution Amazon EventBridge User Guide:Creating an EventBridge rule that triggers on an AWS API call Amazon SNS User Guide:Sending Amazon SNS messages to HTTP/HTTPS endpoints

NEW QUESTION # 717
A company has stored millions of objects across multiple prefixes in an Amazon S3 bucket by using the Amazon S3 Glacier Deep Archive storage class. The company needs to delete all data older than 3 years except for a subset of data that must be retained. The company has identified the data that must be retained and wants to implement a serverless solution.
Which solution will meet these requirements?
Answer: C
Explanation:
To meet the requirement of deleting objects older than 3 years while retaining certain data, this solution leverages serverless technologies to minimize operational overhead.
S3 Inventory: S3 Inventory provides a flat file that lists all the objects in an S3 bucket and their metadata, which can be configured to include data such as the last modified date. This inventory can be generated daily or weekly.
AWS Lambda Function: A Lambda function can be created to process the S3 Inventory report, filtering out the objects that need to be retained and identifying those that should be deleted.
S3 Batch Operations: S3 Batch Operations can execute tasks such as object deletion at scale. By invoking the Lambda function through S3 Batch Operations, you can automate the process of deleting the identified objects, ensuring that the solution is serverless and requires minimal operational management.
Why Not Other Options?:
Option A (AWS CLI script on EC2): Running a script on an EC2 instance adds unnecessary operational overhead and is not serverless.
Option B (AWS Batch): AWS Batch is designed for running large-scale batch computing workloads, which is overkill for this scenario.
Option C (AWS Glue + script): AWS Glue is more suited for ETL tasks, and this approach would add unnecessary complexity compared to the serverless Lambda solution.
AWS Reference:
Amazon S3 Inventory - Information on how to set up and use S3 Inventory.
S3 Batch Operations - Documentation on how to perform bulk operations on S3 objects using S3 Batch Operations.

NEW QUESTION # 718
There are a lot of outages in the Availability Zone of your RDS database instance to the point that you have lost access to the database.
What could you do to prevent losing access to your database in case that this event happens again?
Answer: B
Explanation:
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. For this scenario, enabling Multi- AZ failover is the correct answer. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable.

In case of an infrastructure failure, Amazon RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that you can resume database operations as soon as the failover is complete.
Making a snapshot of the database allows you to have a backup of your database, but it does not provide immediate availability in case of AZ failure. So this is incorrect.
Increasing the database instance size is not a solution for this problem. Doing this action addresses the need to upgrade your compute capacity but does not solve the requirement of providing access to your database even in the event of a loss of one of the Availability Zones.
Creating a read replica is incorrect because this simply provides enhanced performance for read-heavy database workloads. Although you can promote a read replica, its asynchronous replication might not provide you the latest version of your database.
Explanation:
Reference:
https://aws.amazon.com/rds/details/multi-az/
Check out this Amazon RDS Cheat Sheet:
https://tutorialsdojo.com/amazon ... service-amazon-rds/ Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-ce ... -associate-saa-c02/

NEW QUESTION # 719
A company needs to design an online analytics application that uses Redshift Cluster for its data warehouse.
Which of the following services allows them to monitor all API calls in Redshift instance and can also provide secured data for auditing and compliance purposes?
Answer: D
Explanation:
AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. By default, CloudTrail is enabled on your AWS account when you create it. When activity occurs in your AWS account, that activity is recorded in a CloudTrail event. You can easily view recent events in the CloudTrail console by going to Event history.

CloudTrail provides event history of your AWS account activity, including actions taken through the AWS Management Console, AWS SDKs, command line tools, API calls, and other AWS services. This event history simplifies security analysis, resource change tracking, and troubleshooting. Hence, the correct answer is: AWS CloudTrail.
Amazon CloudWatch is incorrect. Although this is also a monitoring service, it cannot track the API calls to your AWS resources.
AWS X-Ray is incorrect because this is not a suitable service to use to track each API call to your AWS resources. It just helps you debug and analyze your microservices applications with request tracing so you can find the root cause of issues and performance.
Amazon Redshift Spectrum is incorrect because this is not a monitoring service but rather a feature of Amazon Redshift that enables you to query and analyze all of your data in Amazon S3 using the open data formats you already use, with no data loading or transformations needed. References:
https://aws.amazon.com/cloudtrail/
https://docs.aws.amazon.com/awsc ... ail-user-guide.html Check out this AWS CloudTrail Cheat Sheet:
https://tutorialsdojo.com/aws-cloudtrail/

NEW QUESTION # 720
......
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