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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design resilient storage solutions 1. Replication and backup 2. Data consistency models 3. Storage durability and availability - Design highly available and fault-tolerant architectures 1. Fault tolerance mechanisms 2. High availability configurations 3. Disaster recovery strategies - Design resilient compute solutions 1. Workload distribution 2. Auto-scaling and elasticity 3. Compute redundancy
Topic 2: Design Cost-Optimized Architectures	20%	- Design cost-optimized compute solutions 1. Serverless and managed services 2. Instance selection and purchasing options 3. Right-sizing and scaling - Design cost-optimized storage solutions 1. Data lifecycle management 2. Cost monitoring and optimization 3. Storage class selection - Design cost-optimized network architectures 1. Traffic routing efficiency 2. Network service selection 3. Data transfer cost optimization
Topic 3: Design High-Performing Architectures	24%	- Design high-performing compute solutions 1. Parallel processing 2. Workload optimization 3. Compute selection and sizing - Design high-performing network architectures 1. Network throughput and latency 2. Global acceleration 3. Content delivery - Design high-performing storage solutions 1. Caching strategies 2. Storage performance optimization 3. Data access patterns
Topic 4: Design Secure Architectures	30%	- Design access management 1. Identity and access management 2. Resource access control 3. Federated access - Design secure network architectures 1. Traffic protection 2. Network isolation and segmentation 3. Edge security - Design secure workloads and applications 1. Data protection 2. Security by design principles 3. Threat detection and mitigation

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q240-Q245):

NEW QUESTION # 240
In DynamoDB, "The data is eventually consistent" means that__________.

A. a read request immediately after a write operation shows the latest change.
B. a read request immediately after a write operation might cause data loss.
C. a read request immediately after a write operation might not show the latest change.
D. a write request immediately after a read operation might cause data loss.

Answer: C

Explanation:
Explanation/Reference:
Explanation:
In DynamoDB, it takes time for the update to propagate to all copies. The data is eventually consistent, meaning that a read request immediately after a write operation might not show the latest change.
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/APISummary.html

NEW QUESTION # 241
You are running a successful multitier web application on AWS and your marketing department has asked you to add a reporting tier to the application. The reporting tier will aggregate and publish status reports every 30 minutes from user-generated information that is being stored in your web application s database. You are currently running a Multi- AZ RDS MySQL instance for the database tier. You also have implemented Elasticache as a database caching layer between the application tier and database tier. Please select the answer that will allow you to successfully implement the reporting tier with as little impact as possible to your database.

A. Generate the reports by querying the ElastiCache database caching tier.
B. Launch a RDS Read Replica connected to your Multi AZ master database and generate reports by querying the Read Replica.
C. Continually send transaction logs from your master database to an S3 bucket and generate the reports off the S3 bucket using S3 byte range requests.
D. Generate the reports by querying the synchronously replicated standby RDS MySQL instance maintained through Multi-AZ.

Answer: B

Explanation:
Explaination:
Amazon RDS allows you to use read replicas with Multi-AZ deployments. In Multi-AZ deployments for MySQL, Oracle, SQL Server, and PostgreSQL, the data in your primary DB Instance is synchronously replicated to to a standby instance in a different Availability Zone (AZ). Because of their synchronous replication, Multi-AZ deployments for these engines offer greater data durability benefits than do read replicas. (In all Amazon RDS for Aurora deployments, your data is automatically replicated across 3 Availability Zones.) You can use Multi-AZ deployments and read replicas in conjunction to enjoy the complementary benefits of each. You can simply specify that a given Multi-AZ deployment is the source DB Instance for your Read replicas. That way you gain both the data durability and availability benefits of Multi-AZ deployments and the read scaling benefits of read replicas.
Note that for Multi-AZ deployments, you have the option to create your read replica in an AZ other than that of the primary and the standby for even more redundancy. You can identify the AZ corresponding to your standby by looking at the "Secondary Zone" field of your DB Instance in the AWS Management Console.

NEW QUESTION # 242
An application stores data in an Amazon RDS PostgreSQL Multi-AZ database instance. The ratio of read requests to write requests is about 2 to 1. Recent increases in traffic are causing very high latency.
How can this problem be corrected?

A. Create a similar RDS PostgreSQL instance and direct all traffic to it.
B. Use the secondary instance of the Multiple Availability Zone for read traffic only.
C. Create a read replica and send all read traffic to it.
D. Create a read replica and send half of all traffic to it.

Answer: D

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

NEW QUESTION # 243
An AWS account owner has setup multiple IAM users. One of these IAM users, named John, has CloudWatch access, but no access to EC2 services. John has setup an alarm action which stops EC2 instances when their CPU utilization is below the threshold limit.
When an EC2 instance's CPU Utilization rate drops below the threshold John has set, what will happen and why?

A. Nothing will happen. John cannot set an alarm on EC2 since he does not have the permission.
B. CloudWatch will stop the instance when the action is executed
C. Nothing will happen. John can setup the action, but it will not be executed because he does not have EC2 access through IAM policies.
D. Nothing will happen because it is not possible to stop the instance using the CloudWatch alarm

Answer: C

Explanation:
Amazon CloudWatch alarms watch a single metric over a time period that the user specifies and performs one or more actions based on the value of the metric relative to a given threshold over a number of time periods.
The user can setup an action which stops the instances when their CPU utilization is below a certain threshold for a certain period of time. The EC2 action can either terminate or stop the instance as part of the EC2 action.
If the IAM user has read/write permissions for Amazon CloudWatch but not for Amazon EC2, he can still create an alarm.
However, the stop or terminate actions will not be performed on the Amazon EC2 instance.
http://docs.aws.amazon.com/AmazonCloudWatch/latest/DeveloperGuide/UsingAlarmActions.html

NEW QUESTION # 244
A company runs an application that receives data from thousands of geographically dispersed remote devices that use UDP The application processes the data immediately and sends a message back to the device if necessary No data is stored.
The company needs a solution that minimizes latency for the data transmission from the devices. The solution also must provide rapid failover to another AWS Region Which solution will meet these requirements?

A. Use AWS Global Accelerator Create a Network Load Balancer (NLB) in each of the two Regions as an endpoint. Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the NLB Process the data in Amazon ECS.
B. Configure an Amazon Route 53 failover routing policy Create an Application Load Balancer (ALB) in each of the two Regions Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster Set the ECS service as the target for the ALB Process the data in Amazon ECS
C. Use AWS Global Accelerator Create an Application Load Balancer (ALB) in each of the two Regions as an endpoint Create an Amazon Elastic Container Service (Amazon ECS) cluster with the Fargate launch type Create an ECS service on the cluster. Set the ECS service as the target for the ALB Process the data in Amazon ECS
D. Configure an Amazon Route 53 failover routing policy Create a Network Load Balancer (NLB) in each of the two Regions Configure the NLB to invoke an AWS Lambda function to process the data

Answer: C

NEW QUESTION # 245
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