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Amazon SAA-C03 (Amazon AWS Certified Solutions Architect - Associate) Certification Exam is a highly sought-after certification in the field of cloud computing. AWS has become one of the most widely used cloud computing platforms in the world, and the SAA-C03 certification is the ideal way to demonstrate one's expertise in AWS solutions architecture. AWS Certified Solutions Architect - Associate certification validates the knowledge and skills required to design and deploy scalable, highly available, and fault-tolerant systems on AWS.
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To pass the Amazon SAA-C03 exam, candidates need to demonstrate their expertise in various areas such as designing resilient architectures, selecting appropriate AWS services to meet specific requirements, implementing cost optimization strategies, and securing AWS resources. AWS Certified Solutions Architect - Associate certification exam is an excellent way for IT professionals to showcase their skills and expertise in AWS, which is one of the leading cloud computing platforms in the world. Passing the SAA-C03 exam can open up many job opportunities in the field of cloud computing and can help professionals advance their careers in this rapidly growing industry.
The SAA-C03 Certification Exam is an excellent way to demonstrate one's expertise in AWS solutions architecture. AWS Certified Solutions Architect - Associate certification provides IT professionals with the knowledge and skills required to design and deploy scalable, highly available, and fault-tolerant systems on AWS. AWS Certified Solutions Architect - Associate certification is also a valuable asset for those looking to advance their career in the field of cloud computing.
Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q348-Q353):
NEW QUESTION # 348
A company is developing a highly available natural language processing (NLP) application. The application handles large volumes of concurrent requests. The application performs NLP tasks such as entity recognition, sentiment analysis, and key phrase extraction on text data.
The company needs to store data that the application processes in a highly available and scalable database.
Options:
- A. Create an Amazon SQS queue to buffer incoming requests. Deploy the NLP application on Amazon EC2 instances in an Auto Scaling group. Use Amazon Comprehend to perform NLP tasks. Store the processed data in an Amazon RDS database.
- B. Create an Amazon API Gateway WebSocket API endpoint to handle incoming requests. Configure the WebSocket API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Textract to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
- C. Create an Amazon API Gateway HTTP API endpoint to handle incoming requests. Configure the HTTP API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Translate to perform NLP tasks on the text data. Store the processed data in Amazon ElastiCache.
- D. Create an Amazon API Gateway REST API endpoint to handle incoming requests. Configure the REST API to invoke an AWS Lambda function for each request. Configure the Lambda function to call Amazon Comprehend to perform NLP tasks on the text data. Store the processed data in Amazon DynamoDB.
Answer: D
Explanation:
A . API Gateway + DynamoDB:Provides high scalability, low latency, and seamless integration with Amazon Comprehend for NLP tasks.
B . HTTP API + Translate + ElastiCache:Translate is not relevant for NLP tasks like sentiment analysis or entity recognition. ElastiCache is unsuitable for permanent storage.
C . SQS + EC2 + RDS:Increases complexity and operational overhead. RDS may not scale effectively for high concurrent loads.
D . WebSocket API + Textract:Textract is irrelevant for NLP tasks. WebSocket API is not the optimal choice for this use case.
NEW QUESTION # 349
A company plans to use Amazon ElastiCache for its multi-tier web application A solutions architect creates a Cache VPC for the ElastiCache cluster and an App VPC for the application's Amazon EC2 instances Both VPCs are in the us-east-1 Region The solutions architect must implement a solution to provide tne application's EC2 instances with access to the ElastiCache cluster Which solution will meet these requirements MOST cost-effectively?
- A. Create a peering connection between the VPCs Add a route table entry for the peering connection in both VPCs Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group
- B. Create a peering connection between the VPCs Add a route table entry for the peering connection in both VPCs Configure an inbound rule for the peering connection's security group to allow inbound connection from the application's secunty group
- C. Create a Transit VPC Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC Configure an inbound rule for the Transit VPCs security group to allow inbound connection from the application's security group
- D. Create a Transit VPC Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group
Answer: A
Explanation:
Explanation
Creating a peering connection between the two VPCs and configuring an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group is the most cost-effective solution. Peering connections are free and you only incur the cost of configuring the security group rules. The Transit VPC solution requires additional VPCs and associated resources, which would incur additional costs.
Before Testing | AWS Certification Information and Policies | AWS
https://aws.amazon.com/certification/policies/before-testing/
NEW QUESTION # 350
A company plans to use Amazon ElastiCache for its multi-tier web application A solutions architect creates a Cache VPC for the ElastiCache cluster and an App VPC for the application's Amazon EC2 instances Both VPCs are in the us-east-1 Region The solutions architect must implement a solution to provide tne application's EC2 instances with access to the ElastiCache cluster Which solution will meet these requirements MOST cost-effectively?
- A. Create a peering connection between the VPCs Add a route table entry for the peering connection in both VPCs Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group
- B. Create a peering connection between the VPCs Add a route table entry for the peering connection in both VPCs Configure an inbound rule for the peering connection's security group to allow inbound connection from the application's secunty group
- C. Create a Transit VPC Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC Configure an inbound rule for the Transit VPCs security group to allow inbound connection from the application's security group
- D. Create a Transit VPC Update the VPC route tables in the Cache VPC and the App VPC to route traffic through the Transit VPC Configure an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group
Answer: A
Explanation:
Creating a peering connection between the two VPCs and configuring an inbound rule for the ElastiCache cluster's security group to allow inbound connection from the application's security group is the most cost-effective solution. Peering connections are free and you only incur the cost of configuring the security group rules. The Transit VPC solution requires additional VPCs and associated resources, which would incur additional costs.
https://aws.amazon.com/certification/policies/before-testing/
Before Testing | AWS Certification Information and Policies | AWS
https://aws.amazon.com/certification/policies/before-testing/
NEW QUESTION # 351
[Design Operationally Excellent Architectures]
A company wants to run big data workloads on Amazon EMR. The workloads need to process terabytes of data in memory.
A solutions architect needs to identify the appropriate EMR cluster instance configuration for the workloads.
Which solution will meet these requirements?
- A. Use a storage optimized instance for the primary node. Use compute optimized instances for core nodes and task nodes.
- B. Use a memory optimized instance for the primary node. Use storage optimized instances for core nodes and task nodes.
- C. Use a general purpose instance for the primary node. Use memory optimized instances for core nodes and task nodes.
- D. Use general purpose instances for the primary, core, and task nodes.
Answer: C
Explanation:
Big data workloads that need to process terabytes of data in memory requirememory-optimized instancesfor the core and task nodes to ensure sufficient memory for processing data efficiently.
Primary Node:Ageneral purpose instanceis suitable because it manages cluster operations, including coordination and monitoring, and does not process data directly.
Core and Task Nodes:These nodes handle data storage and processing.Memory-optimized instancesare ideal because they provide high memory-to-CPU ratios, which is critical for in-memory big data workloads.
Why Other Options Are Incorrect:
Option A:Storage optimized and compute optimized instances are not suitable for workloads that rely heavily on in-memory processing.
Option B:A memory-optimized primary node is unnecessary because the primary node does not process data.
Option D:General purpose instances for all nodes will not provide sufficient memory for processing terabytes of data in memory.
AWS Documentation Reference:
Amazon EMR Instance Types
Memory-Optimized Instances
NEW QUESTION # 352
A company has an application that runs on Amazon EC2 instances in a private subnet The application needs to process sensitive information from an Amazon S3 bucket The application must not use the internet to connect to the S3 bucket.
Which solution will meet these requirements?
- A. Configure an internet gateway. Update the S3 bucket policy to allow access from the internet gateway Update the application to use the new internet gateway
- B. Configure a VPN connection. Update the S3 bucket policy to allow access from the VPN connection. Update the application to use the new VPN connection.
- C. Configure a NAT gateway. Update the S3 bucket policy to allow access from the NAT gateway. Update the application to use the new NAT gateway.
- D. Configure a VPC endpoint. Update the S3 bucket policy to allow access from the VPC endpoint. Update the application to use the new VPC endpoint.
Answer: D
Explanation:
Understanding the Requirement: The application running on EC2 instances in a private subnet needs to process sensitive information from an S3 bucket without using the internet.
Analysis of Options:
Internet Gateway: This would expose the application to the internet, which is not suitable for accessing sensitive information securely.
VPN Connection: VPN is primarily used for secure connections between on-premises networks and AWS VPCs, not for direct S3 access within the same VPC.
NAT Gateway: This allows instances in a private subnet to connect to the internet, but the goal is to avoid internet access.
VPC Endpoint: Provides a private connection between the VPC and S3 without using the internet, ensuring secure access to the S3 bucket.
Best Solution:
VPC Endpoint: Configuring a VPC endpoint allows secure, private communication between the EC2 instances and the S3 bucket without using the internet, ensuring data security and compliance.
Reference:
Amazon VPC Endpoints
Amazon S3 VPC Endpoint
NEW QUESTION # 353
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