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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design Secure Architectures	30%	- Design secure workloads and applications 1. Data protection 2. Threat detection and mitigation 3. Security by design principles - Design access management 1. Federated access 2. Resource access control 3. Identity and access management - Design secure network architectures 1. Edge security 2. Traffic protection 3. Network isolation and segmentation
Design Resilient Architectures	26%	- Design resilient compute solutions 1. Workload distribution 2. Compute redundancy 3. Auto-scaling and elasticity - Design highly available and fault-tolerant architectures 1. Disaster recovery strategies 2. High availability configurations 3. Fault tolerance mechanisms - Design resilient storage solutions 1. Data consistency models 2. Storage durability and availability 3. Replication and backup
Design Cost-Optimized Architectures	20%	- Design cost-optimized compute solutions 1. Right-sizing and scaling 2. Instance selection and purchasing options 3. Serverless and managed services - Design cost-optimized storage solutions 1. Storage class selection 2. Cost monitoring and optimization 3. Data lifecycle management - Design cost-optimized network architectures 1. Network service selection 2. Traffic routing efficiency 3. Data transfer cost optimization
Design High-Performing Architectures	24%	- Design high-performing compute solutions 1. Parallel processing 2. Compute selection and sizing 3. Workload optimization - Design high-performing storage solutions 1. Data access patterns 2. Storage performance optimization 3. Caching strategies - Design high-performing network architectures 1. Content delivery 2. Network throughput and latency 3. Global acceleration

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q200-Q205):

NEW QUESTION # 200
An e-commerce application is hosted in AWS. The last time a new product was launched, the application experienced a performance issue due to an enormous spike in traffic. Management decided that capacity must be doubled the week after the product is launched.
Which is the MOST efficient way for management to ensure that capacity requirements are met?

A. Add a Step Scaling policy.
B. Add Amazon EC2 Spot Instances.
C. Add a Dynamic Scaling policy.
D. Add a Scheduled Scaling action.

Answer: A

Explanation:
Explanation
Step Scaling Policies for Application Auto Scaling With step scaling, you choose scaling metrics and threshold values for the CloudWatch alarms that trigger the scaling process as well as define how your scalable target should be scaled when a threshold is in breach for a specified number of evaluation periods.
Step scaling policies increase or decrease the current capacity of a scalable target based on a set of scaling adjustments, known as step adjustments. The adjustments vary based on the size of the alarm breach.

NEW QUESTION # 201
A company's website is using an Amazon RDS MySQL Multi-AZ DB instance for its transactional data storage.
There are other internal systems that query this DB instance to fetch data for internal batch processing. The RDS DB instance slows down significantly the internal systems fetch data. This impacts the website's read and write performance, and the users experience slow response times.
Which solution will improve the website's performance?

A. Use an RDS PostgreSQL DB instance instead of a MySQL database.
B. Add an additional Availability Zone to the current RDS MySQL Multi.AZ DB instance.
C. Add a read replica to the RDS DB instance and configure the internal systems to query the read replica.
D. Use Amazon ElastiCache to cache the query responses for the website.

Answer: C

NEW QUESTION # 202
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. 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.
B. 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.
C. 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.
D. 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.

Answer: B

NEW QUESTION # 203
A company has a legacy data processing application that runs on Amazon EC2 instances. Data is processed sequentially, but the order of results does not matter. The application uses a monolithicarchitecture. The only way that the company can scale the application to meet increased demand is to increase the size of the instances.
The company's developers have decided to rewrite the application to use a microservices architecture on Amazon Elastic Container Service (Amazon ECS).
What should a solutions architect recommend for communication between the microservices?

A. Create an Amazon DynamoDB table. Enable DynamoDB Streams. Add code to the data producers to insert data into the table. Add code to the data consumers to use the DynamoDB Streams API to detect new table entries and retrieve the data.
B. Create an AWS Lambda function to pass messages. Add code to the data producers to call the Lambda function with a data object. Add code to the data consumers to receive a data object that is passed from the Lambda function.
C. Create an Amazon Simple Notification Service (Amazon SNS) topic. Add code to the data producers, and publish notifications to the topic. Add code to the data consumers to subscribe to the topic.
D. Create an Amazon Simple Queue Service (Amazon SQS) queue. Add code to the data producers, and send data to the queue. Add code to the data consumers to process data from the queue.

Answer: D

Explanation:
Queue has Limited throughput (300 msg/s without batching, 3000 msg/s with batching whereby up-to 10 msg per batch operation; Msg duplicates not allowed in the queue (exactly-once delivery); Msg order is preserved (FIFO); Queue name must end with .fifo

NEW QUESTION # 204
If I want to run a database in an Amazon instance, which is the most recommended Amazon storage option?

A. Amazon S3
B. Amazon EBS
C. Amazon Instance Storage
D. You can't run a database inside an Amazon instance.

Answer: B

NEW QUESTION # 205
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