SAA-C03 VALID TEST PASS4SURE - PDF SAA-C03 FREE

SAA-C03 Valid Test Pass4sure - Pdf SAA-C03 Free

SAA-C03 Valid Test Pass4sure - Pdf SAA-C03 Free

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To achieve the Amazon SAA-C03 certification, candidates need to demonstrate their proficiency in various AWS services, such as EC2, S3, RDS, VPC, and Route 53, among others. Candidates are required to have at least one year of hands-on experience in designing and deploying scalable, highly available, and fault-tolerant systems on AWS. The SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions, and the candidates have 130 minutes to complete the exam. The passing score for the exam is 720 out of 1000 points. Earning the Amazon SAA-C03 certification not only validates the candidate’s expertise in AWS but also demonstrates their commitment to staying up-to-date with the latest trends and best practices in cloud computing.

Amazon SAA-C03 Exam is a highly sought-after certification for IT professionals looking to validate their expertise in AWS architecture and design. SAA-C03 exam covers a broad range of topics, including AWS core services, security, database, and networking, and is updated regularly to reflect the latest AWS services and features. Candidates who pass the exam demonstrate their ability to design and deploy scalable, highly available, and fault-tolerant systems on AWS, making them highly valuable to employers globally.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q629-Q634):

NEW QUESTION # 629
An loT company is releasing a mattress that has sensors to collect data about a user's sleep. The sensors will send data to an Amazon S3 bucket. The sensors collect approximately 2 MB of data every night for each mattress. The company must process and summarize the data for each mattress. The results need to be available as soon as possible Data processing will require 1 GB of memory and will finish within 30 seconds.
Which solution will meet these requirements MOST cost-effectively?

  • A. Use AWS Lambda with a Python script.
  • B. Use AWS Glue with a Scalajob.
  • C. Use AWS Glue with a PySpark job.
  • D. Use Amazon EMR with an Apache Spark script.

Answer: A

Explanation:
AWS Lambda charges you based on the number of invocations and the execution time of your function. Since the data processing job is relatively small (2 MB of data), Lambda is a cost-effective choice. You only pay for the actual usage without the need to provision and maintain infrastructure.


NEW QUESTION # 630
A company hosts a three-tier ecommerce application on a fleet of Amazon EC2 instances. The instances run in an Auto Scaling group behind an Application Load Balancer (ALB) All ecommerce data is stored in an Amazon RDS for ManaDB Multi-AZ DB instance The company wants to optimize customer session management during transactions The application must store session data durably Which solutions will meet these requirements? (Select TWO )

  • A. Deploy an Amazon Cognito user pool to manage user session information
  • B. Use an Amazon DynamoDB table to store customer session information
  • C. Deploy an Amazon ElastiCache for Redis cluster to store customer session information
  • D. Use AWS Systems Manager Application Manager in the application to manage user session information
  • E. Turn on the sticky sessions feature (session affinity) on the ALB

Answer: B,E


NEW QUESTION # 631
A company has an application that runs on Amazon EC2 instances and uses an Amazon Aurora database. The EC2 instances connect to the database by using user names and passwords that are stored locally in a file. The company wants to minimize the operational overhead of credential management.
What should a solutions architect do to accomplish this goal?

  • A. Use AWS Secrets Manager. Turn on automatic rotation.
  • B. Create an encrypted Amazon Elastic Block Store (Amazon EBS) volume (or each EC2 instance. Attach the new EBS volume to each EC2 instance. Migrate the credential file to the new EBS volume. Point the application to the new EBS volume.
  • C. Use AWS Systems Manager Parameter Store. Turn on automatic rotation.
  • D. Create an Amazon S3 bucket lo store objects that are encrypted with an AWS Key C. Management Service (AWS KMS) encryption key. Migrate the credential file to the S3 bucket. Point the application to the S3 bucket.

Answer: A

Explanation:
https://aws.amazon.com/cn/blogs/security/how-to-connect-to-aws-secrets-manager-service-within-a-virtual-private-cloud/
https://aws.amazon.com/blogs/security/rotate-amazon-rds-database-credentials-automatically-with-aws-secrets-manager/


NEW QUESTION # 632
A company wants to deploy an AWS Lambda function that will read and write objects to Amazon S3 bucket.
The Lambda function must be connected to the company's VPC. The company must deploy the Lambda function only to private subnets in the VPC. The Lambda function must not be allowed to access the internet.
Which solutions will meet these requirements? (Select TWO.)

  • A. Create an interface VPC endpoint for the S3 bucket.
  • B. Create a public NAT gateway to access the S3 bucket.
  • C. Create a private NAT gateway to access the S3 bucket.
  • D. Attach an Elastic IP address to the NAT gateway.
  • E. Create a gateway VPC endpoint for the S3 bucket.

Answer: A,E


NEW QUESTION # 633
[Design Resilient Architectures]
An online gaming company is transitioning user data storage to Amazon DynamoDB to support the company's growing user base. The current architecture includes DynamoDB tables that contain user profiles, achievements, and in-game transactions.
The company needs to design a robust, continuously available, and resilient DynamoDB architecture to maintain a seamless gaming experience for users.
Which solution will meet these requirements MOST cost-effectively?

  • A. Create DynamoDB tables in a single AWS Region. Use on-demand capacity mode. Use global tables to replicate data across multiple Regions.
  • B. Use DynamoDB Accelerator (DAX) to cache frequently accessed data. Deploy tables in a single AWS Region and enable auto scaling. Configure Cross-Region Replication manually to additional Regions.
  • C. Use DynamoDB global tables for automatic multi-Region replication. Deploy tables in multiple AWS Regions. Use provisioned capacity mode. Enable auto scaling.
  • D. Create DynamoDB tables in multiple AWS Regions. Use on-demand capacity mode. Use DynamoDB Streams for Cross-Region Replication between Regions.

Answer: C

Explanation:
DynamoDB Global Tablesprovide a fully managed, multi-region, and multi-master database solution that allows you to deploy DynamoDB tables in multiple AWS Regions. This ensures high availability and resiliency across different geographical locations, providing a seamlessgaming experience for users. Usingprovisioned capacity modewithauto-scalingensures cost-efficiency by scaling up or down based on actual demand.
Option A: While on-demand capacity mode is flexible, provisioned capacity with auto-scaling is more cost-effective for predictable workloads.
Option B (DAX): DAX improves read performance, but it doesn't provide the multi-region replication needed for high availability and resiliency.
Option C: DynamoDB Streams with manual cross-region replication adds more complexity and operational overhead compared to Global Tables.
AWS Reference:
DynamoDB Global Tables


NEW QUESTION # 634
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