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SAA-C03 Minimum Pass Score - 100% Pass Quiz 2025 Amazon First-grade SAA-C03: Composite Test AWS Certified Solutions Architect - Associate Price

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The SAA-C03 certification exam consists of 65 multiple-choice and multiple-response questions that must be completed within 130 minutes. SAA-C03 exam covers various topics such as AWS infrastructure, security, networking, databases, storage, and cost optimization. To pass the exam, candidates must demonstrate their ability to design and deploy scalable, highly available, and fault-tolerant systems on the AWS platform. Successful candidates will receive the AWS Certified Solutions Architect - Associate certification, which is recognized globally and demonstrates their expertise in designing and deploying cloud-based solutions on the AWS platform.

Earning the Amazon SAA-C03 certification can be a valuable asset for IT professionals who work with AWS. It validates their expertise in designing and deploying scalable and fault-tolerant systems on AWS, which can help them advance their career and increase their earning potential. Additionally, it can help organizations identify professionals who have the necessary skills to deploy and manage AWS solutions effectively.

Amazon SAA-C03 Exam covers a wide range of topics related to AWS services and solutions, including compute, storage, databases, networking, security, and more. AWS Certified Solutions Architect - Associate certification exam is designed to validate the skills and knowledge required to design and deploy secure, resilient, and scalable AWS solutions that meet business objectives and requirements.

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q760-Q765):

NEW QUESTION # 760
An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (Pll). The company wants to use the data in three applications. Only one of the applications needs to process the Pll. The Pll must be removed before the other two applications process the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Process the data and store the transformed data in three separate Amazon DynamoDB tables so that each application has its own custom dataset. Point each application to its respective DynamoDB table.
B. Process the data and store the transformed data in three separate Amazon S3 buckets so that each application has its own custom dataset. Point each application to its respective S3 bucket.
C. Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object Lambda before returning the data to the requesting application.
D. Store the data in an Amazon DynamoDB table. Create a proxy application layer to intercept and process the data that each application requests.

Answer: C

Explanation:
https://aws.amazon.com/blogs/aws/introducing-amazon-s3-object-lambda-use-your-code-to-process-data-as-it-is-being-retrieved-from-s3/ S3 Object Lambda is a new feature of Amazon S3 that enables customers to add their own code to process data retrieved from S3 before returning it to the application. By using S3 Object Lambda, the data can be processed and transformed in real-time, without the need to store multiple copies of the data in separate S3 buckets or DynamoDB tables.
In this case, the Pll can be removed from the data by the code added to S3 Object Lambda before returning the data to the two applications that do not need to process Pll. The one application that requires Pll can be pointed to the original S3 bucket where the Pll is still stored.
Using S3 Object Lambda is the simplest and most cost-effective solution, as it eliminates the need to maintain multiple copies of the same data in different buckets or tables, which can result in additional storage costs and operational overhead.

NEW QUESTION # 761
[Design Secure Architectures]
A company is developing a new application that will run on Amazon EC2 instances. The application needs to access multiple AWS services.
The company needs to ensure that the application will not use long-term access keys to access AWS services.

A. Create an IAM role that has permissions to access the required AWS services. Associate the IAM role with each EC2 instance profile.
B. Create an IAM user that has programmatic access keys. Store the access keys in AWS Secrets Manager. Configure the application to retrieve the keys from Secrets Manager when the application runs.
C. Create an IAM user. Assign the IAM user to the application. Create programmatic access keys for the IAM user. Embed the access keys in the application code.
D. Create an IAM role that can access AWS Systems Manager Parameter Store. Associate the role with each EC2 instance profile. Create IAM access keys for the AWS services, and store the keys in Parameter Store. Configure the application to retrieve the keys from Parameter Store when the application runs.

Answer: A

Explanation:
Why Option D is Correct:
IAM Roles with Instance Profiles: Allow applications to access AWS services securely without hardcoding long-term access keys.
Short-Term Credentials: IAM roles issue short-term credentials dynamically managed by AWS.
Why Other Options Are Not Ideal:
Option A and B: Embedding or retrieving long-term access keys introduces security risks and operational overhead.
Option C: Combining IAM roles with Parameter Store adds unnecessary complexity.
AWS Reference:
IAM Roles and Instance Profiles:AWS Documentation - IAM Roles

NEW QUESTION # 762
A company wants to securely exchange data between its software as a service (SaaS) application Salesforce account and Amazon S3. The company must encrypt the data at rest by using AWS Key Management Service (AWS KMS) customer managed keys (CMKs). The company must also encrypt the data in transit. The company has enabled API access for the Salesforce account.
Which solution will meet these requirements with the LEAST development effort?

A. Create AWS Lambda functions to transfer the data securely from Salesforce to Amazon S3.
B. Create an AWS Step Functions workflow Define the task to transfer the data securely from Salesforce to Amazon S3.
C. Create a custom connector for Salesforce to transfer the data securely from Salesforce to Amazon S3.
D. Create Amazon AppFlow flows to transfer the data securely from Salesforce to Amazon S3.

Answer: D

Explanation:
Amazon AppFlow is a fully managed integration service that enables users to transfer data securely between SaaS applications and AWS services. It supports Salesforce as a source and Amazon S3 as a destination. It also supports encryption of data at rest using AWS KMS CMKs and encryption of data in transit using SSL/TLS1. By using Amazon AppFlow, the solution can meet the requirements with the least development effort.
1. Create AWS Lambda functions to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves writing custom code to interact with Salesforce and Amazon S3 APIs, handle authentication, encryption, error handling, and monitoring2.
2. Create an AWS Step Functions workflow Define the task to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves creating a state machine definition to orchestrate the data transfer task, and invoking Lambda functions or other services to perform the actual data transfer3.
3. Create a custom connector for Salesforce to transfer the data securely from Salesforce to Ama-zon S3. This solution will not meet the requirement of the least development effort, as it involves using the Amazon AppFlow Custom Connector SDK to build and deploy a custom connector for Salesforce, which requires additional configuration and management.
Reference URL: https://aws.amazon.com/appflow/

NEW QUESTION # 763
An ecommerce company hosts its analytics application in the AWS Cloud. The application generates about 300 MB of data each month. The data is stored in JSON format. The company is evaluating a disaster recovery solution to back up the dat a. The data must be accessible in milliseconds if it is needed, and the data must be kept for 30 days.
Which solution meets these requirements MOST cost-effectively?

A. Amazon S3 Glacier
B. Amazon OpenSearch Service (Amazon Elasticsearch Service)
C. Amazon S3 Standard
D. Amazon RDS for PostgreSQL

Answer: C

Explanation:
This solution meets the requirements of a disaster recovery solution to back up the data that is generated by an analytics application, stored in JSON format, and must be accessible in milliseconds if it is needed. Amazon S3 Standard is a durable and scalable storage class for frequently accessed data. It can store any amount of data and provide high availability and performance. It can also support millisecond access time for data retrieval.
Option A is incorrect because Amazon OpenSearch Service (Amazon Elasticsearch Service) is a search and analytics service that can index and query data, but it is not a backup solution for data stored in JSON format. Option B is incorrect because Amazon S3 Glacier is a low-cost storage class for data archiving and long-term backup, but it does not support millisecond access time for data retrieval. Option D is incorrect because Amazon RDS for PostgreSQL is a relational database service that can store and query structured data, but it is not a backup solution for data stored in JSON format.
Reference:
https://aws.amazon.com/s3/storage-classes/
https://aws.amazon.com/s3/faqs/#Durability_and_data_protection

NEW QUESTION # 764
A data analytics company wants to migrate its batch processing system to AWS. The company receives thousands of small data files periodically during the day through FTP. A on-premises batch job processes the data files overnight. However, the batch job takes hours to finish running.
The company wants the AWS solution to process incoming data files are possible with minimal changes to the FTP clients that send the files. The solution must delete the incoming data files the files have been processed successfully. Processing for each file needs to take 3-8 minutes.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use AWS Transfer Family to create an FTP server to store incoming files in Amazon S3 Standard.
Create an AWS Lambda function to process the files and to delete the files after they are proessed.yse an S3 event notification to invoke the lambda function when the fils arrive
B. Use an Amazon EC2 instance that runs an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the process the files nightly from the EBS volume. Delete the files after the job has processed the files.
C. Use an Amazon EC2 instance that runs an FTP server to store incoming files as objects in Amazon S3 Glacier Flexible Retrieval. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the job to process the objects nightly from S3 Glacier Flexible Retrieval. Delete the objects after the job has processed the objects.
D. Use AWS Transfer Family to create an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use an Amazon S3 event notification when each files arrives to invoke the job in AWS Batch. Delete the files after the job has processed the files.

Answer: A

Explanation:
This option is the most operationally efficient because it uses AWS Transfer Family to create an FTP server that can store incoming files in Amazon S3 Standard12, which is a low-cost and highly available storage service. It also uses AWS Lambda to process the files and delete them after they are processed, which is a serverless and scalable solution that does not require any batch scheduling or infrastructure management. It also uses S3 event notifications to invoke the Lambda function when the files arrive, which enables near real- time processing of the incoming data files3. Option A is less efficient because it uses Amazon S3 Glacier Flexible Retrieval, which is a cold storage class that has higher retrieval costs and longer retrieval times than Amazon S3 Standard. It also uses EventBridge rules to invoke the job nightly, which does notmeet the requirement of processing incoming data files as soon as possible. Option B is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses EventBridge rules to invoke the job nightly, which does not meet the requirement of processing incoming data files as soon as possible. Option C is less efficient because it uses an EBS volume to store incoming files, which is a block storage service that has higher costs and lower durability than Amazon S3. It also uses AWS Batch to process the files, which requires managing compute resources and job queues.

NEW QUESTION # 765
......

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