SAA-C03 EXAM TUTORIALS | RELIABLE AMAZON SAA-C03: AWS CERTIFIED SOLUTIONS ARCHITECT - ASSOCIATE

SAA-C03 Exam Tutorials | Reliable Amazon SAA-C03: AWS Certified Solutions Architect - Associate

SAA-C03 Exam Tutorials | Reliable Amazon SAA-C03: AWS Certified Solutions Architect - Associate

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q799-Q804):

NEW QUESTION # 799
Question:
A healthcare company uses an Amazon EMR cluster to process patient data. The data must be encrypted in transit and at rest. Local volumes in the cluster also need to be encrypted. Which solution will meet these requirements?
Options:

  • A. Create a runtime role that has a trust policy for the EMR cluster.
  • B. Create an EMR security configuration that encrypts the data and the volumes as required.
  • C. Create an EC2 instance profile for the EMR instances. Configure the instance profile to enforce encryption.
  • D. Create Amazon EBS volumes. Enable encryption. Attach the volumes to the existing EMR cluster.

Answer: B

Explanation:
Amazon EMR allows the creation of security configurations to specify settings for encrypting data at rest, data in transit, or both. These configurations can be applied to clusters to ensure that data stored in Amazon S3, local disks, and data moving between nodes is encrypted.
By creating and applying an EMR security configuration, the company can ensure that all data processing complies with encryption requirements for sensitive patient data.


NEW QUESTION # 800
A company is launching a new application that requires a structured database to store user profiles, application settings, and transactional data. The database must be scalable with application traffic and must offer backups.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use Amazon Aurora Serverless for the database. Use serverless capacity scaling. Configure automated backups to Amazon S3.
  • B. Deploy a self-managed database on Amazon EC2 instances by using open-source software. Use Spot Instances for cost optimization. Configure automated backups to Amazon S3.
  • C. Use Amazon RDS. Use on-demand capacity mode for the database with General Purpose SSD storage.
    Configure automatic backups with a retention period of 7 days.
  • D. Deploy a self-managed NoSQL database on Amazon EC2 instances. Use Reserved Instances for cost optimization. Configure automated backups directly to Amazon S3 Glacier Flexible Retrieval.

Answer: A

Explanation:
Amazon Aurora Serverless v2 is ideal for applications with unpredictable or intermittent workloads. It automatically scales capacity up or down based on demand, significantly reducing costs. It supports automated backups to Amazon S3, making it suitable and cost-effective for new applications with variable traffic.
Reference: AWS Documentation - Amazon Aurora Serverless


NEW QUESTION # 801
A company plans to migrate toAWS and use Amazon EC2 On-Demand Instances for its application. During the migration testing phase, a technical team observes that the application takes a long time to launch and load memory to become fully productive.
Which solution will reduce the launch time of the application during the next testing phase?

  • A. Launch two or more EC2 On-Demand Instances. Turn on auto scaling features and make the EC2 On-Demand Instances available during the next testing phase.
  • B. Launch the EC2 On-Demand Instances with hibernation turned on. Configure EC2 Auto Scaling warm pools during the next testing phase.
  • C. Launch EC2 Spot Instances to support the application and to scale the application so it is available during the next testing phase.
  • D. Launch EC2 On-Demand Instances with Capacity Reservations. Start additional EC2 instances during the next testing phase.

Answer: B

Explanation:
The solution that will reduce the launch time of the application during the next testing phase is to launch the EC2 On-Demand Instances with hibernation turned on and configure EC2 Auto Scaling warm pools. This solution allows the application to resume from a hibernated state instead of starting from scratch, which can save time and resources. Hibernation preserves the memory (RAM) state of the EC2 instances to the root EBS volume and then stops the instances. When the instances are resumed, they restore their memory state from the EBS volume and become productive quickly. EC2 Auto Scaling warm pools can be used to maintain a pool of pre-initialized instances that are ready to scale out when needed. Warm pools can also support hibernated instances, which can further reduce the launch time and cost of scaling out.
The other solutions are not as effective as the first one because they either do not reduce the launch time, do not guarantee availability, or do not use On-Demand Instances as required. Launching two or more EC2 On-Demand Instances with auto scaling features does not reduce the launch time of the application, as each instance still has to go through the initialization process. Launching EC2 Spot Instances does not guarantee availability, as Spot Instances can be interrupted by AWS at any time when there is a higher demand for capacity. Launching EC2 On-Demand Instances with Capacity Reservations does not reduce the launch time of the application, as it only ensures that there is enough capacity available for the instances, but does not pre-initialize them.
Reference:
Hibernating your instance - Amazon Elastic Compute Cloud
Warm pools for Amazon EC2 Auto Scaling - Amazon EC2 Auto Scaling


NEW QUESTION # 802
[Design Resilient Architectures]
A company uses a popular content management system (CMS) for its corporate website. However, the required patching and maintenance are burdensome. The company is redesigning its website and wants anew solution. The website will be updated four times a year and does not need to have any dynamic content available. The solution must provide high scalability and enhanced security.
Which combination of changes will meet these requirements with the LEAST operational overhead? (Choose two.)

  • A. Deploy an AWS WAF web ACL in front of the website to provide HTTPS functionality
  • B. Create the new website. Deploy the website by using an Auto Scaling group of Amazon EC2 instances behind an Application Load Balancer.
  • C. Create the new website and an Amazon S3 bucket Deploy the website on the S3 bucket with static website hosting enabled
  • D. Create and deploy an AWS Lambda function to manage and serve the website content

Answer: A,B

Explanation:
A -> We can configure CloudFront to require HTTPS from clients (enhanced security) https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/using-https-viewers-to-cloudfront.html D -> storing static website on S3 provides scalability and less operational overhead, then configuration of Application LB and EC2 instances (hence E is out)


NEW QUESTION # 803
A company manages a data lake in an Amazon S3 bucket that numerous applications access The S3 bucket contains a unique prefix for each application The company wants to restrict each application to its specific prefix and to have granular control of the objects under each prefix.
Which solution will meet these requirements with the LEAST operational overhead?

  • A. Create an S3 Batch Operations job to set the ACL permissions for each object in the S3 bucket
  • B. Replicate the objects in the S3 bucket to new S3 buckets for each application. Create replication rules by prefix
  • C. Create dedicated S3 access points and access point policies for each application.
  • D. Replicate the objects in the S3 bucket to new S3 buckets for each application Create dedicated S3 access points for each application

Answer: C

Explanation:
* Understanding the Requirement: The company wants to restrict each application to its specific prefix in an S3 bucket and have granular control over the objects under each prefix.
* Analysis of Options:
* Dedicated S3 Access Points: Provides a scalable and flexible way to manage access to S3 buckets, allowing specific policies to be attached to each access point, thereby controlling access at the prefix level.
* S3 Batch Operations: Suitable for large-scale changes but involves more operational overhead and does not dynamically control future access.
* Replication to new S3 buckets: Involves unnecessary duplication of data and increased storage costs, and operational overhead for managing multiple buckets.
* Combination of replication and access points: Adds unnecessary complexity and overhead compared to using access points directly.
* Best Solution:
* Dedicated S3 Access Points: This provides the least operational overhead while meeting the requirements for prefix-level access control and granular management.
References:
* Amazon S3 Access Points


NEW QUESTION # 804
......

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