Examinations SAA-C03 Actual Questions | SAA-C03 Exam Simulations

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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Secure Architectures	30%	- Design secure workloads and applications 1. AWS WAF and Shield 2. Encryption at rest and in transit 3. AWS KMS and CloudHSM 4. Security groups and NACLs - Determine appropriate data security controls 1. Data encryption strategies 2. Amazon Macie and GuardDuty 3. Data classification 4. Data backup and recovery - Design secure access to AWS resources 1. Multi-factor authentication (MFA) 2. AWS Organizations and SCPs 3. IAM policies and roles 4. Identity federation
Topic 2: Design High-Performing Architectures	24%	- Determine high-performing and/or scalable network architectures 1. AWS Global Accelerator 2. AWS Direct Connect 3. Amazon CloudFront 4. VPC endpoints 5. Amazon Route 53 - Design high-performing and elastic compute solutions 1. Amazon EC2 instance types and families 2. Amazon ECS and EKS 3. AWS Elastic Beanstalk 4. AWS Lambda - Determine high-performing database solutions 1. Amazon ElastiCache (Redis/Memcached) 2. Amazon Redshift 3. Amazon RDS and Aurora 4. Amazon DynamoDB - Determine high-performing and/or scalable storage solutions 1. Instance Store 2. Amazon FSx 3. Amazon EBS volume types 4. Amazon S3 storage classes and lifecycle policies 5. Amazon EFS - Determine high-performing data ingestion and transformation solutions 1. Amazon MSK 2. AWS Glue 3. AWS Data Pipeline 4. Amazon Kinesis
Topic 3: Design Resilient Architectures	26%	- Design scalable and loosely coupled architectures 1. Elastic Load Balancing 2. Amazon API Gateway 3. Amazon SQS and SNS 4. Amazon EventBridge 5. Auto Scaling groups - Design highly available and/or fault-tolerant architectures 1. AWS Global Accelerator 2. Amazon Route 53 routing policies 3. Multi-AZ deployments 4. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) 5. Multi-Region architectures
Topic 4: Design Cost-Optimized Architectures	20%	- Design cost-optimized database solutions 1. ElastiCache for caching 2. DynamoDB capacity modes (On-demand vs Provisioned) 3. RDS Reserved Instances 4. Aurora Serverless - Design cost-optimized network architectures 1. AWS Direct Connect for cost optimization 2. CloudFront to reduce origin load 3. Data transfer costs 4. VPC endpoints to reduce NAT costs - Design cost-optimized compute solutions 1. AWS Lambda pricing model 2. Auto Scaling for cost optimization 3. Right-sizing instances 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) - Design cost-optimized storage solutions 1. EBS volume type selection 2. S3 storage classes and lifecycle policies 3. EFS cost optimization 4. S3 Intelligent-Tiering

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q340-Q345):

NEW QUESTION # 340
A company has a web application that is relying entirely on slower disk-based databases, causing it to perform slowly. To improve its performance, the Solutions Architect integrated an in-memory data store to the web application using ElastiCache.
How does Amazon ElastiCache improve database performance?

A. It provides an in-memory cache that delivers up to 10x performance improvement from milliseconds to microseconds or even at millions of requests per second.
B. It reduces the load on your database by routing read queries from your applications to the Read Replica.
C. By caching database query results.
D. It securely delivers data to customers globally with low latency and high transfer speeds.

Answer: C

Explanation:
ElastiCache improves the performance of your database through caching query results.
The primary purpose of an in-memory key-value store is to provide ultra-fast (submillisecond latency) and inexpensive access to copies of data. Most data stores have areas of data that are frequently accessed but seldom updated. Additionally, querying a database is always slower and more expensive than locating a key in a key-value pair cache. Some database queries are especially expensive to perform, for example, queries that involve joins across multiple tables or queries with intensive calculations.
By caching such query results, you pay the price of the query once and then are able to quickly retrieve the data multiple times without having to re-execute the query.

The option that says: It securely delivers data to customers globally with low latency and high transfer speeds is incorrect because this option describes what CloudFront does and not ElastiCache.
The option that says: It provides an in-memory cache that delivers up to 10x performance improvement from milliseconds to microseconds or even at millions of requests per second is incorrect because this option describes what Amazon DynamoDB Accelerator (DAX) does and not ElastiCache. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB.
Amazon ElastiCache cannot provide a performance improvement from milliseconds to microseconds, let alone millions of requests per second like DAX can.
The option that says: It reduces the load on your database by routing read queries from your applications to the Read Replica is incorrect because this option describes what an RDS Read Replica does and not ElastiCache. Amazon RDS Read Replicas enable you to create one or more read-only copies of your database instance within the same AWS Region or in a different AWS Region. References:
https://aws.amazon.com/elasticache/
https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/elasticache-use-cases.html Check out this Amazon Elasticache Cheat Sheet:
https://tutorialsdojo.com/amazon-elasticache/

NEW QUESTION # 341
A company wants to run a hybrid workload for data processing. The data needs to be accessed by on- premises applications for local data processing using an NFS protocol, and must also be accessible from the AWS Cloud for further analytics and batch processing. Which solution will meet these requirements?

A. Use an AWS Storage Gateway volume gateway in a stored volume configuration to regularly take snapshots of the local data, then copy the data to AWS.
B. Use an AWS Storage Gateway tape gateway to copy the backup of the local data to AWS, then perform analytics on this data in the AWS Cloud.
C. Use an AWS Storage Gateway volume gateway in a cached volume configuration to back up all the local storage in the AWS Cloud, then perform analytics on this data in the cloud.
D. Use an AWS Storage Gateway file gateway to provide file storage to AWS, then perform analytics on this data in the AWS Cloud.

Answer: D

Explanation:
AWS Storage Gateway file gateway presents a file interface backed by Amazon S3 and supports NFS. This allows local applications to access data via NFS while also enabling cloud applications to use the data stored in S3 for analytics and processing, fulfilling both hybrid and cloud-native requirements.

NEW QUESTION # 342
A company is migrating a Linux-based web server group to AWS. The web servers must access files in a shared file store for some content. The company must not make any changes to the application.
What should a solutions architect do to meet these requirements?

A. Configure a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS) volume. Mount the EBS volume to all web servers.
B. Create an Amazon S3 Standard bucket with access to the web servers.
C. Configure an Amazon CloudFront distribution with an Amazon S3 bucket as the origin.
D. Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system on all web servers.

Answer: D

Explanation:
Explanation
Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system on all web servers. To meet the requirements of providing a shared file store for Linux-based web servers without making changes to the application, using an Amazon EFS file system is the best solution. Amazon EFS is a managed NFS file system service that provides shared access to files across multiple Linux-based instances, which makes it suitable for this use case. Amazon S3 is not ideal for this scenario since it is an object storage service and not a file system, and it requires additional tools or libraries to mount the S3 bucket as a file system.
Amazon CloudFront can be used to improve content delivery performance but is not necessary for this requirement. Additionally, Amazon EBS volumes can only be mounted to one instance at a time, so it is not suitable for sharing files across multiple instances.

NEW QUESTION # 343
A company wants to build a logging solution for its multiple AWS accounts. The company currently stores the logs from all accounts in a centralized account. The company has created an Amazon S3 bucket in the centralized account to store the VPC flow logs and AWS CloudTrail logs. All logs must be highly available for 30 days for frequent analysis, retained tor an additional 60 days tor backup purposes, and deleted 90 days after creation.
Which solution will meet these requirements MOST cost-effectively?

A. Transition objects to the S3 One Zone-Infrequent Access (S3 One Zone-IA) storage class 30 days after creation. Move all objects to the S3 Glacier Flexible Retrieval storage class after 90 days. Write an expiration action that directs Amazon S3 to delete objects after 90 days.
B. Transition objects lo the S3 Standard-Infrequent Access (S3 Standard-IA) storage class 30 days after creation Move all objects to the S3 Glacier Flexible Retrieval storage class after 90 days. Write an expiration action that directs Amazon S3 to delete objects after 90 days.
C. Transition objects to the S3 Glacier Flexible Retrieval storage class 30 days after creation. Write an expiration action that directs Amazon S3 to delete objects alter 90 days.
D. Transition objects to the S3 Standard storage class 30 days after creation. Write an expiration action that directs Amazon S3 to delete objects after 90 days.

Answer: A

Explanation:
Understanding the Requirement: The company needs logs to be highly available for 30 days for frequent analysis, retained for an additional 60 days for backup, and deleted after 90 days.
Analysis of Options:
Transition to S3 Standard after 30 days: Keeps logs in the same high-availability storage, not cost-effective.
Transition to S3 Standard-IA, then Glacier Flexible Retrieval after 90 days: Adds unnecessary cost and complexity since objects need to be accessible for only 30 days and then retained for 60 days.
Transition to Glacier Flexible Retrieval after 30 days: Not suitable for frequent access required in the first 30 days.
Transition to S3 One Zone-IA after 30 days, then Glacier Flexible Retrieval: Provides cost-effective storage for infrequently accessed logs after the initial 30-day period, then moves to the cheapest long-term storage before deletion.
Best Solution:
Transition to S3 One Zone-IA after 30 days, then Glacier Flexible Retrieval: This solution meets the requirements for high availability, cost-effective storage for backup, and scheduled deletion with the least cost.
Reference:
Amazon S3 Storage Classes
Managing your storage lifecycle

NEW QUESTION # 344
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 Inspector to scan me objects in the bucket. If objects contain Pll. trigger an S3 Lifecycle policy to remove the objects that contain Pll.
B. 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.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 345
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