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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design scalable and loosely coupled architectures 1. Elastic scaling 2. Decoupled services 3. Event-driven architectures - Design highly available and fault-tolerant architectures 1. Disaster recovery planning 2. Backup and recovery 3. Multi-AZ and multi-region strategies
Topic 2: Design High-Performing Architectures	24%	- Design high-performing compute solutions 1. Performance optimization 2. Serverless architectures 3. Compute service selection - Determine high-performing and scalable storage solutions 1. File storage 2. Object storage 3. Block storage - Determine high-performing database and network architectures 1. Network performance optimization 2. Database service selection 3. Caching strategies
Topic 3: Design Secure Architectures	30%	- Design secure workloads and applications 1. Network security controls 2. Secure application integration 3. Data encryption - Determine appropriate data security controls 1. Data protection in transit 2. Data protection at rest 3. Key management - Design secure access to AWS resources 1. Least privilege access 2. Authentication and authorization mechanisms 3. Identity and access management
Topic 4: Design Cost-Optimized Architectures	20%	- Design cost-optimized compute, database, and network solutions 1. Cost monitoring and optimization 2. Resource right-sizing 3. Pricing models - Design cost-optimized storage solutions 1. Storage class selection 2. Lifecycle management

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q288-Q293):

NEW QUESTION # 288
A company has a production web application in which users upload documents through a web interlace or a mobile app. According to a new regulatory requirement, new documents cannot be modified or deleted after they are stored.
What should a solutions architect do to meet this requirement?

A. Store the uploaded documents in an Amazon S3 bucket with S3 Versioning enabled Configure an ACL to restrict all access to read-only.
B. Store the uploaded documents in an Amazon S3 bucket with S3 Versioning and S3 Object Lock enabled
C. Store the uploaded documents on an Amazon Elastic File System (Amazon EFS) volume. Access the data by mounting the volume in read-only mode.
D. Store the uploaded documents in an Amazon S3 bucket. Configure an S3 Lifecycle policy to archive the documents periodically.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock-overview.html

NEW QUESTION # 289
You need to measure the performance of your EBS volumes as they seem to be under performing. You have come up with a measurement of 1,024 KB I/O but your colleague tells you that EBS volume performance is measured in IOPS. How many IOPS is equal to 1,024 KB I/O?

A. 0
B. 1
C. 2
D. 3

Answer: C

Explanation:
Several factors can affect the performance of Amazon EBS volumes, such as instance configuration, I/O characteristics, workload demand, and storage configuration.
IOPS are input/output operations per second. Amazon EBS measures each I/O operation per second (that is 256 KB or smaller) as one IOPS. I/O operations that are larger than 256 KB are counted in 256 KB capacity units.
For example, a 1,024 KB I/O operation would count as 4 IOPS.
When you provision a 4,000 IOPS volume and attach it to an EBS-optimized instance that can provide the necessary bandwidth, you can transfer up to 4,000 chunks of data per second (provided that the I/O does not exceed the 128 MB/s per volume throughput limit of General Purpose (SSD) and Provisioned IOPS (SSD) volumes).
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSPerformance.html

NEW QUESTION # 290
You are responsible for a web application that consists of an Elastic Load Balancing (ELB) load balancer in front of an Auto Scaling group of Amazon Elastic Compute Cloud (EC2) instances. For a recent deployment of a new version of the application, a new Amazon Machine Image (AMI) was created, and the Auto Scaling group was updated with a new launch configuration that refers to this new AMI. During the deployment, you received complaints from users that the website was responding with errors. All instances passed the ELB health checks.
What should you do in order to avoid errors for future deployments? (Choose 2 answer)

A. Add an Elastic Load Balancing health check to the Auto Scaling group. Set a short period for the health checks to operate as soon as possible in order to prevent premature registration of the instance to the load balancer.
B. Increase the Elastic Load Balancing Unhealthy Threshold to a higher value to prevent an unhealthy instance from going into service behind the load balancer.
C. Set the Elastic Load Balancing health check configuration to target a part of the application that fully tests application health and returns an error if the tests fail.
D. Enable EC2 instance CloudWatch alerts to change the launch configuration AMI to the previous one.
Gradually terminate instances that are using the new AMI.
E. Create a new launch configuration that refers to the new AMI, and associate it with the group. Double the size of the group, wait for the new instances to become healthy, and reduce back to the original size.
If new instances do not become healthy, associate the previous launch configuration.

Answer: C,E

NEW QUESTION # 291
How does in-memory caching improve the performance of applications in ElastiCache?

A. It improves application performance by deleting the requests that do not contain frequently accessed data.
B. It improves application performance by storing critical pieces of data in memory for low-latency access.
C. It improves application performance by using a part of instance RAM for caching important data.
D. It improves application performance by implementing good database indexing strategies.

Answer: B

Explanation:
Explanation/Reference:
Explanation:
In Amazon ElastiCache, in-memory caching improves application performance by storing critical pieces of data in memory for low-latency access. Cached information may include the results of I/O-intensive database queries or the results of computationally intensive calculations.
http://aws.amazon.com/elasticache/faqs/#g4

NEW QUESTION # 292
A company has an ecommerce checkout workflow that writes an order to a database and calls a service to process the payment. Users are experiencing timeouts during the checkout process. When users resubmit the checkout form, multiple unique orders are created for the same desired transaction.
How should a solutions architect refactor this workflow to prevent the creation of multiple orders?

A. Store the order in the database. Send a message that includes the order number to Amazon Simple Notification Service (Amazon SNS). Set the payment service to poll Amazon SNS. retrieve the message, and process the order.
B. Configure the web application to send an order message to Amazon Kinesis Data Firehose. Set the payment service to retrieve the message from Kinesis Data Firehose and process the order.
C. Create a rule in AWS CloudTrail to invoke an AWS Lambda function based on the logged application path request Use Lambda to query the database, call the payment service, and pass in the order information.
D. Store the order in the database. Send a message that includes the order number to an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Set the payment service to retrieve the message and process the order. Delete the message from the queue.

Answer: D

Explanation:
Explanation
This approach ensures that the order creation and payment processing steps are separate and atomic. By sending the order information to an SQS FIFO queue, the payment service can process the order one at a time and in the order they were received. If the payment service is unable to process an order, it can be retried later, preventing the creation of multiple orders. The deletion of the message from the queue after it is processed will prevent the same message from being processed multiple times.

NEW QUESTION # 293
......

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