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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Design Resilient Architectures	30%	- Decoupling mechanisms 1. Event-driven architectures 2. SNS for pub/sub notifications 3. SQS for messaging - Highly available and fault-tolerant architectures 1. Multi-AZ deployments 2. Auto Scaling strategies 3. Load balancing (ELB, ALB, NLB)
Design High-Performing Architectures	24%	- Storage and database performance 1. RDS vs DynamoDB selection patterns 2. EBS, EFS, and S3 performance considerations - Compute optimization 1. EC2 instance selection and scaling 2. Lambda serverless design patterns
Design Cost-Optimized Architectures	16%	- Cost monitoring and optimization 1. AWS Cost Explorer usage 2. Storage lifecycle policies (S3) - Cost-aware resource selection 1. Right-sizing EC2 instances 2. Reserved Instances vs On-Demand vs Spot
Design Secure Architectures	30%	- Design secure workloads and applications 1. Secrets management (AWS Secrets Manager, SSM Parameter Store) 2. Data encryption at rest and in transit (KMS, TLS) - Design secure access to AWS resources 1. Least privilege access design 2. Cross-account access strategies 3. IAM users, roles, and policies

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q434-Q439):

NEW QUESTION # 434
A bank is designing an online customer service portal where customers can chat with customer service agents. The portal is required to maintain a 15-minute RPO or RTO in case of a regional disaster. Banking regulations require that all customer service chat transcripts must be preserved on durable storage for at least 7 years, chat conversations must be encrypted in-flight, and transcripts must be encrypted at rest.
The Data Loss Prevention team requires that data at rest must be encrypted using a key that the team controls, rotates, and revokes.
Which design meets these requirements?

A. The chat application logs each chat message into Amazon CloudWatch Logs. A scheduled AWS Lambda function invokes a CloudWatch Logs CreateExportTask every 5 minutes to export chat transcripts to Amazon S3. The S3 bucket is configured for cross-region replication to the backup region.
Separate AWS KMS keys are specified for the CloudWatch Logs group and the S3 bucket.
B. The chat application logs each chat message into Amazon CloudWatch Logs. The CloudWatch Logs group is configured to export logs into an Amazon Glacier vault with a 7-year vault lock policy. Glacier cross-region replication mirrors chat archives to the backup region. Separate AWS KMS keys are specified for the CloudWatch Logs group and the Amazon Glacier vault.
C. The chat application logs each chat message into Amazon CloudWatch Logs. A subscription filter on the CloudWatch Logs group feeds into an Amazon Kinesis Data Firehose which streams the chat messages into an Amazon S3 bucket in the backup region. Separate AWS KMS keys are specified for the CloudWatch Logs group and the Kinesis Data Firehose.
D. The chat application logs each chat message into two different Amazon CloudWatch Logs groups in two different regions, with the same AWS KMS key applied. Both CloudWatch Logs groups are configured to export logs into an Amazon Glacier vault with a 7-year vault lock policy with a KMS key specified.

Answer: B

Explanation:
Explanation/Reference:
https://docs.aws.amazon.com/AmazonS3/latest/dev/replication.html

NEW QUESTION # 435
A media company has a 30-TB repository of digital news videos. These videos are stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system. The company wants to enrich the metadata for these videos in an automated fashion and put them into a searchable catalog by using a MAM feature. The company must be able to search based on information in the video, such as objects, scenery items, or people's faces. A catalog is available that contains faces of people who have appeared in the videos that include an image of each person. The company would like to migrate these videos to AWS.
The company has a high-speed AWS Direct Connect connection with AWS and would like to move the MAM solution video content directly from its current file system.
How can these requirements be met by using the LEAST amount of ongoing management overhead and causing MINIMAL disruption to the existing system?

A. Configure a video ingestion stream by using Amazon Kinesis Video Streams. Use the catalog of faces to build a collection in Amazon Rekognition. Stream the videos from the MAM solution into Kinesis Video Streams. Configure Amazon Rekognition to process the streamed videos. Then, use a stream consumer to retrieve the required metadata, and push the metadata into the MAM solution. Configure the stream to store the videos in Amazon S3.
B. Set up an Amazon EC2 instance that runs the OpenCV libraries. Copy the videos, images, and face catalog from the one-premises library into an Amazon EBS volume mounted on this EC2 instance.
Process the videos to retrieve the required metadata, and push the metadata into the MAM solution while also copying the video files to an Amazon S3 bucket.
C. Set up an AWS Storage Gateway, file gateway appliance on premises. Use the MAM solution to extract the videos from the current archive and push them into the file gateway. Use the catalog of faces to build a collection in Amazon Rekognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Rekognition pull the video from the Amazon S3 files backing the file gateway, retrieve the required metadata, and push the metadata into the MAM solution.
D. Set up an AWS Storage Gateway, tape gateway appliance on-premises. Use the MAM solution to extract the videos from the current archive and push them into the tape gateway. Use the catalog of faces to build a collection in Amazon Rekognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Amazon Rekognition process the video in the tape gateway, retrieve the required metadata, and push the metadata into the MAM solution.

Answer: D

NEW QUESTION # 436
You need to develop and run some new applications on AWS and you know that Elastic Beanstalk and
CloudFormation can both help as a deployment mechanism for a broad range of AWS resources. Which of the following statements best describes the differences between Elastic Beanstalk and
CloudFormation?

A. Elastic Beanstalk uses Elastic load balancing and CloudFormation doesn't.
B. Elastic Beanstalk is faster in deploying applications than CloudFormation.
C. CloudFormation is faster in deploying applications than Elastic Beanstalk.
D. CloudFormation is much more powerful than Elastic Beanstalk, because you can actually design and script custom resources

Answer: D

Explanation:
These services are designed to complement each other. AWS Elastic Beanstalk provides an environment to easily develop and run applications in the cloud. It is integrated with developer tools and provides a one-stop experience for you to manage the lifecycle of your applications. AWS CloudFormation is a convenient deployment mechanism for a broad range of AWS resources. It supports the infrastructure needs of many different types of applications such as existing enterprise applications, legacy applications, applications built using a variety of AWS resources and container-based solutions (including those built using AWS Elastic Beanstalk).
AWS CloudFormation introduces two new concepts: The template, a JSON-format, text-based file that describes all the AWS resources you need to deploy to run your application and the stack, the set of AWS resources that are created and managed as a single unit when AWS CloudFormation instantiates a template.
Reference: http://aws.amazon.com/cloudformation/faqs/

NEW QUESTION # 437
You have a distributed application that periodically processes large volumes of data across multiple Amazon EC2 Instances. The application is designed to recover gracefully from Amazon EC2 instance failures. You are required to accomplish this task in the most cost-effective way.
Which of the following will meet your requirements?

A. Spot Instances
B. On-Demand instances
C. Reserved instances
D. Dedicated instances

Answer: A

NEW QUESTION # 438
A company's website is used to sell products to the public. The site runs on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). There is also an Amazon CloudFront distribution, and AWS WAF is being used to protect against SQL injection attacks. The ALB is the origin for the CloudFront distribution. A recent review of security logs revealed an external malicious IP that needs to be blocked from accessing the website.
What should a solutions architect do to protect the application?

A. Modify the security groups for the EC2 instances in the target groups behind the ALB to deny the malicious IP address.
B. Modify the network ACL on the CloudFront distribution to add a deny rule for the malicious IP address.
C. Modify the configuration of AWS WAF to add an IP match condition to block the malicious IP address.
D. Modify the network ACL for the EC2 instances in the target groups behind the ALB to deny the malicious IP address.

Answer: C

Explanation:
If you want to allow or block web requests based on the IP addresses that the requests originate from, create one or more IP match conditions. An IP match condition lists up to 10,000 IP addresses or IP address ranges that your requests originate from. Later in the process, when you create a web ACL, you specify whether to allow or block requests from those IP addresses.
AWS Web Application Firewall (WAF) - Helps to protect your web applications from common application-layer exploits that can affect availability or consume excessive resources. As you can see in my post (New - AWS WAF), WAF allows you to use access control lists (ACLs), rules, and conditions that define acceptable or unacceptable requests or IP addresses. You can selectively allow or deny access to specific parts of your web application and you can also guard against various SQL injection attacks. We launched WAF with support for Amazon CloudFront.
Reference:
https://aws.amazon.com/blogs/aws/aws-web-application-firewall-waf-for-application-loadbalancers/
https://docs.aws.amazon.com/waf/latest/developerguide/classic-web-acl-ip-conditions.html
https://docs.aws.amazon.com/waf/latest/developerguide/classic-web-acl-ip-conditions.html
https://aws.amazon.com/blogs/aws/aws-web-application-firewall-waf-for-application-load-balancers/

NEW QUESTION # 439
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