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Amazon SAA-C03 exam consists of multiple-choice and multiple-response questions and is conducted online via the AWS Certification portal. SAA-C03 exam is 130 minutes long, and candidates are required to score at least 720 out of 1000 to pass. SAA-C03 Exam covers a wide range of topics, including AWS storage solutions, compute and networking services, security, and application integration. Candidates must have a solid understanding of these topics to be successful on the exam.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q466-Q471):

NEW QUESTION # 466
A company is running a business-critical web application on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances are in an Auto Scaling group. The application uses an Amazon Aurora PostgreSQL database that is deployed in a single Availability Zone. The company wants the application to be highly available with minimum downtime and minimum loss of data.
Which solution will meet these requirements with the LEAST operational effort?

A. Configure the Auto Scaling group to use multiple AWS Regions. Write the data from the application to Amazon S3. Use S3 Event Notifications to launch an AWS Lambda function to write the data to the database.
B. Configure the Auto Scaling group to use multiple Availability Zones. Configure the database as Multi-AZ. Configure an Amazon RDS Proxy instance for the database.
C. Place the EC2 instances in different AWS Regions. Use Amazon Route 53 health checks to redirect traffic. Use Aurora PostgreSQL Cross-Region Replication.
D. Configure the Auto Scaling group to use one Availability Zone. Generate hourly snapshots of the database. Recover the database from the snapshots in the event of a failure.

Answer: B

NEW QUESTION # 467
A company is hosting EC2 instances that are on non-production environment and processing non- priority batch loads, which can be interrupted at any time.
What is the best instance purchasing option which can be applied to your EC2 instances in this case?

A. On-Demand Instances
B. Reserved Instances
C. On-Demand Capacity Reservations
D. Spot Instances

Answer: D

Explanation:
Amazon EC2 Spot instances are spare compute capacity in the AWS cloud available to you at steep discounts compared to On-Demand prices. It can be interrupted by AWS EC2 with two minutes of notification when the EC2 needs the capacity back.
To use Spot Instances, you create a Spot Instance request that includes the number of instances, the instance type, the Availability Zone, and the maximum price that you are willing to pay per instance hour.
If your maximum price exceeds the current Spot price, Amazon EC2 fulfills your request immediately if capacity is available. Otherwise, Amazon EC2 waits until your request can be fulfilled or until you cancel the request.

References:
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-spot-instances.html
https://aws.amazon.com/ec2/spot/
Amazon EC2 Overview:
https://youtu.be/7VsGIHT_jQE
Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/

NEW QUESTION # 468
A company needs to create an AWS Lambda function that will run in a VPC in the company's primary AWS account. The Lambda function needs to access files that the company stores in an Amazon Elastic File System (Amazon EFS) file system. The EFS file system is located in a secondary AWS account. As the company adds files to the file system the solution must scale to meet the demand.
Which solution will meet these requirements MOST cost-effectively?

A. Create a new EPS file system in the primary account Use AWS DataSync to copy the contents of the original EPS file system to the new EPS file system
B. Move the contents of the file system to a Lambda Layer's Configure the Lambda layer's permissions to allow the company's secondary account to use the Lambda layer.
C. Create a second Lambda function In the secondary account that has a mount that is configured for the file system. Use the primary account's Lambda function to invoke the secondary account's Lambda function
D. Create a VPC peering connection between the VPCs that are in the primary account and the secondary account

Answer: D

Explanation:
This option is the most cost-effective and scalable way to allow the Lambda function in the primary account to access the EFS file system in the secondary account. VPC peering enables private connectivity between two VPCs without requiring gateways, VPN connections, or dedicated network connections. The Lambda function can use the VPC peering connection to mount the EFS file system as a local file system and access the files as needed. The solution does not incur additional data transfer or storage costs, and it leverages the existing EFS file system without duplicating or moving the data.
Option A is not cost-effective because it requires creating a new EFS file system and using AWS DataSync to copy the data from the original EFS file system. This would incur additional storage and data transfer costs, and it would not provide real-time access to the files.
Option C is not scalable because it requires creating a second Lambda function in the secondary account and configuring cross-account permissions to invoke it from the primary account. This would add complexity and latency to the solution, and it would increase the Lambda invocation costs.
Option D is not feasible because Lambda layers are not designed to store large amounts of data or provide file system access. Lambda layers are used to share common code or libraries across multiple Lambda functions.
Moving the contents of the EFS file system to a Lambda layer would exceed the size limit of 250 MB for a layer, and it would not allow the Lambda function to read or write files to the layer. References:
What Is VPC Peering?
Using Amazon EFS file systems with AWS Lambda
What Are Lambda Layers?

NEW QUESTION # 469
A weather forecasting company needs to process hundreds of gigabytes of data with sub-millisecond latency. The company has a high performance computing (HPC) environment in its data center and wants to expand its forecasting capabilities.
A solutions architect must identify a highly available cloud storage solution that can handle large amounts of sustained throughput Files that are stored in the solution should be accessible to thousands of compute instances that will simultaneously access and process the entire dataset.
What should the solutions architect do to meet these requirements?

A. Use Amazon FSx for Lustre scratch file systems
B. Use Amazon Elastic File System (Amazon EFS) with Provisioned Throughput mode.
C. Use Amazon Elastic File System (Amazon EFS) with Bursting Throughput mode.
D. Use Amazon FSx for Lustre persistent file systems.

Answer: D

Explanation:
Amazon FSx for Lustre: Lustre is a high-performance file system designed for workloads that require fast storage with sustained high throughput and low latency. It integrates with Amazon S3, making it suitable for HPC environments.
Persistent File Systems:
Persistent Storage: Suitable for long-term storage and recurrent use, providing durability and availability.
High Throughput and Low Latency: Persistent Lustre file systems can handle large amounts of data with sub-millisecond latency, meeting the needs of high-performance computing workloads.
Simultaneous Access: FSx for Lustre allows thousands of compute instances to access and process large datasets concurrently, ensuring that the high volume of data is handled efficiently.
Highly Available: FSx for Lustre is designed to provide high availability and is managed by AWS, reducing the operational burden.
Reference:
Amazon FSx for Lustre
High-Performance Computing on AWS

NEW QUESTION # 470
A solutions architect is using Amazon S3 to design the storage architecture of a new digital media application.
The media files must be resilient to the loss of an Availability Zone Some files are accessed frequently while other files are rarely accessed in an unpredictable pattern. The solutions architect must minimize the costs of storing and retrieving the media files.
Which storage option meets these requirements?

A. S3 Intelligent-Tiering
B. S3 Standard
C. S3 One Zone-Infrequent Access (S3 One Zone-IA)
D. S3 Standard-Infrequent Access {S3 Standard-IA)

Answer: A

Explanation:
S3 Intelligent-Tiering - Perfect use case when you don't know the frequency of access or irregular patterns of usage.
Amazon S3 offers a range of storage classes designed for different use cases. These include S3 Standard for general-purpose storage of frequently accessed data; S3 Intelligent-Tiering for data with unknown or changing access patterns; S3 Standard-Infrequent Access (S3 Standard-IA) and S3 One Zone-Infrequent Access (S3 One Zone-IA) for long-lived, but less frequently accessed data; and Amazon S3 Glacier (S3 Glacier) and Amazon S3 Glacier Deep Archive (S3 Glacier Deep Archive) for long-term archive and digital preservation. If you have data residency requirements that can't be met by an existing AWS Region, you can use the S3 Outposts storage class to store your S3 data on-premises. Amazon S3 also offers capabilities to manage your data throughout its lifecycle. Once an S3 Lifecycle policy is set, your data will automatically transfer to a different storage class without any changes to your application.
https://aws.amazon.com/getting-started/hands-on/getting-started-using-amazon-s3-intelligent-tiering/?nc1=h_ls

NEW QUESTION # 471
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Sure SAA-C03 Pass | Exam Cram SAA-C03 Pdf

Exam Cram SAA-C03 Pdf, SAA-C03 Best Vce

Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q466-Q471):