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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.
To earn the Amazon SAA-C03 certification, candidates need to pass a multiple-choice exam that covers a wide range of topics related to AWS services, architecture patterns, and best practices. SAA-C03 exam also tests the candidate's ability to design and deploy secure and reliable applications on AWS while considering cost optimization and performance efficiency. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification is intended for solutions architects, developers, and IT professionals who are responsible for designing and deploying applications on AWS.
The SAA-C03 Certification Exam is recognized globally as a premier certification for AWS solutions architects, and it can help professionals advance their careers by demonstrating their expertise in designing and deploying scalable, highly available, and fault-tolerant systems on the AWS cloud platform. Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam certification is highly valued by employers, and it can lead to higher salaries, better job opportunities, and increased job security.
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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q957-Q962):
NEW QUESTION # 957
A healthcare provider is planning to store patient data on AWS as PDF files. To comply with regulations, the company must encrypt the data and store the files in multiple locations. The data must be available for immediate access from any environment.
- A. Store the files in an Amazon Elastic File System (Amazon EFS) volume. Use an AWS KMS managed key to encrypt the EFS volume. Use AWS DataSync to replicate the EFS volume to a second AWS Region.
- B. Store the files in an Amazon S3 bucket. Use the Standard storage class. Enable server-side encryption with Amazon S3 managed keys (SSE-S3) on the bucket. Configure cross-Region replication on the bucket.
- C. Store the files in an Amazon S3 bucket. Use the S3 Glacier Flexible Retrieval storage class. Ensure that all PDF files are encrypted by using client-side encryption before the files are uploaded. Configure cross-Region replication on the bucket.
- D. Store the files in an Amazon Elastic Block Store (Amazon EBS) volume. Configure AWS Backup to back up the volume on a regular schedule. Use an AWS KMS key to encrypt the backups.
Answer: B
Explanation:
Amazon S3 with the Standard storage class is the best solution:
* Encryption: SSE-S3 ensures server-side encryption of the data, meeting compliance requirements.
* Immediate access: The Standard storage class provides low-latency and high-throughput access to data.
* Multi-location storage: Cross-Region replication ensures data is stored in multiple AWS Regions for redundancy.
Why Other Options Are Not Ideal:
* Option B:
* Amazon EFS is more costly and suited for file systems rather than object storage.Not cost- effective.
* Option C:
* Amazon EBS is block storage and not optimized for object storage like PDFs. Backup schedules do not ensure immediate availability.Not suitable.
* Option D:
* S3 Glacier Flexible Retrieval is designed for archival, not immediate access.Does not meet access requirements.
AWS References:
* Amazon S3 Standard Storage:AWS Documentation - S3 Storage Classes
* Amazon S3 Cross-Region Replication:AWS Documentation - Cross-Region Replication
* AWS Encryption Options:AWS Documentation - S3 Encryption
NEW QUESTION # 958
A company has an application that provides marketing services to stores. The services are based on previous purchases by store customers. The stores upload transaction data to the company through SFTP, and the data is processed and analyzed to generate new marketing offers. Some of the files can exceed 200 GB in size.
Recently, the company discovered that some of the stores have uploaded files that contain personally identifiable information (PII) that should not have been included. The company wants administrators to be alerted if PII is shared again. The company also wants to automate remediation.
What should a solutions architect do to meet these requirements with the LEAST development effort?
- A. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Macie to scan the objects in the bucket. If objects contain Pll. Use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects mat contain Pll.
- B. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. It objects contain Rll. use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain Pll.
- C. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain Pll. use Amazon Simple Email Service (Amazon STS) to trigger a notification to the administrators and trigger on S3 Lifecycle policy to remove the objects mot contain PII.
- D. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Inspector to scan me objects in the bucket. If objects contain Pll. trigger an S3 Lifecycle policy to remove the objects that contain Pll.
Answer: A
Explanation:
To meet the requirements of detecting and alerting the administrators when PII is shared and automating remediation with the least development effort, the best approach would be to use Amazon S3 bucket as a secure transfer point and scan the objects in the bucket with Amazon Macie. Amazon Macie is a fully managed data security and data privacy service that uses machine learning and pattern matching to discover and protect sensitive data stored in Amazon S3. It can be used to classify sensitive data, monitor access to sensitive data, and automate remediation actions.
In this scenario, after uploading the files to the Amazon S3 bucket, the objects can be scanned for PII by Amazon Macie, and if it detects any PII, it can trigger an Amazon Simple Notification Service (SNS) notification to alert the administrators to remove the objects containing PII. This approach requires the least development effort, as Amazon Macie already has pre-built data classification rules that can detect PII in various formats.
Hence, option B is the correct answer.
References:
* Amazon Macie User Guide: https://docs.aws.amazon.com/macie/latest/userguide/what-is-macie.html
* AWS Well-Architected Framework - Security Pillar: https://docs.aws.amazon.com/wellarchitected/latest
/security-pillar/welcome.html
NEW QUESTION # 959
A company wants to migrate an Oracle database to AWS. The database consists of a single table that contains millions of geographic information systems (GIS) images that are high resolution and are identified by a geographic code.
When a natural disaster occurs tens of thousands of images get updated every few minutes. Each geographic code has a single image or row that is associated with it. The company wants a solution that is highly available and scalable during such events Which solution meets these requirements MOST cost-effectively?
- A. Store the images and geographic codes in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance
- B. Store the images and geographic codes in an Amazon DynamoDB table Configure DynamoDB Accelerator (DAX) during times of high load
- C. Store the images in Amazon S3 buckets Use Amazon DynamoDB with the geographic code as the key and the image S3 URL as the value
- D. Store the images in Amazon S3 buckets Store geographic codes and image S3 URLs in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance.
Answer: C
Explanation:
Amazon S3 is a highly scalable, durable, and cost-effective object storage service that can store millions of images1. Amazon DynamoDB is a fully managed NoSQL database that can handle high throughput and low latency for key-value and document data2. By using S3 to store the images and DynamoDB to store the geographic codes and image S3 URLs, the solution can achieve high availability and scalability during natural disasters. It can also leverage DynamoDB's features such as caching, auto-scaling, and global tables to improve performance and reduce costs2.
a) Store the images and geographic codes in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance. This solution will not meet the requirement of scalability and cost-effectiveness, as Oracle is a relational database that may not handle large volumes of unstructured data such as images efficiently3. It also involves higher licensing and operational costs than S3 and DynamoDB12.
c) Store the images and geographic codes in an Amazon DynamoDB table Configure DynamoDB Accelerator (DAX) during times of high load. This solution will not meet the requirement of cost-effectiveness, as storing images in DynamoDB will consume more storage space and incur higher charges than storing them in S312. It will also require additional configuration and management of DAX clusters to handle high load.
d) Store the images in Amazon S3 buckets Store geographic codes and image S3 URLs in a database table Use Oracle running on an Amazon RDS Multi-AZ DB instance. This solution will not meet the requirement of scalability and cost-effectiveness, as Oracle is a relational database that may not handle high throughput and low latency for key-value data such as geographic codes efficiently3. It also involves higher licensing and operational costs than DynamoDB2.
Reference URL: https://dynobase.dev/dynamodb-vs-s3/
NEW QUESTION # 960
A company needs to connect several VPCs in the us-east-1 Region that span hundreds of AWS accounts. The company's networking team has its own AWS account to manage the cloud network.
What is the MOST operationally efficient solution to connect the VPCs?
- A. Deploy VPN gateways in each VPC. Create a transit VPC in the networking team's AWS account to connect to each VPC.
- B. Configure a NAT gateway and an internet gateway in each VPC to connect each VPC through the internet.
- C. Set up VPC peering connections between each VPC. Update each associated subnet's route table.
- D. Create an AWS Transit Gateway in the networking team's AWS account. Configure static routes from each VPC.
Answer: D
Explanation:
Explanation
AWS Transit Gateway is a highly scalable and centralized hub for connecting multiple VPCs, on-premises networks, and remote networks. It simplifies network connectivity by providing a single entry point and reducing the number of connections required. In this scenario, deploying an AWS Transit Gateway in the networking team's AWS account allows for efficient management and control over the network connectivity across multiple VPCs.
NEW QUESTION # 961
A video game company is deploying a new gaming application to its global users. The company requires a solution that will provide near real-time reviews and rankings of the players.
A solutions architect must design a solution to provide fast access to the dat a. The solution must also ensure the data persists on disks in the event that the company restarts the application.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Configure an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Store the player data in the S3 bucket.
- B. Deploy an Amazon ElastiCache for Memcached cluster. Store the player data in the ElastiCache cluster.
- C. Create Amazon EC2 instances in multiple AWS Regions. Store the player data on the EC2 instances. Configure Amazon Route 53 with geolocation records to direct users to the closest EC2 instance.
- D. Deploy an Amazon ElastiCache for Redis cluster. Store the player data in the ElastiCache cluster.
Answer: D
Explanation:
Requirement Analysis: The application needs near real-time access to data, persistence, and minimal operational overhead.
ElastiCache for Redis: Provides in-memory data storage with persistence, supporting fast access and durability.
Operational Overhead: Managed service reduces the burden of setup, maintenance, and scaling.
Implementation:
Deploy an ElastiCache for Redis cluster.
Configure Redis to persist data to disk using AOF (Append-Only File) or RDB (Redis Database Backup) snapshots.
Conclusion: ElastiCache for Redis meets the requirements for fast access, data persistence, and low operational overhead.
Reference
Amazon ElastiCache: ElastiCache for Redis Documentation
NEW QUESTION # 962
......
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