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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Cost-Optimized Architectures	20%	- Cost monitoring and governance 1. Budget alerts and tagging strategies 2. AWS Cost Explorer - Cost optimization strategies 1. Right-sizing resources 2. Reserved and Spot Instances
Topic 2: Design Resilient Architectures	26%	- Disaster recovery 1. RTO and RPO planning 2. Backup and restore strategies - Highly available architectures 1. Multi-AZ deployments 2. Auto Scaling and Load Balancing
Topic 3: Design High-Performing Architectures	24%	- Compute optimization 1. Serverless architectures (Lambda) 2. EC2 instance selection - Storage and database performance 1. RDS and DynamoDB scaling patterns 2. S3 performance optimization
Topic 4: Design Secure Architectures	30%	- Identity and Access Management (IAM) 1. Cross-account access 2. Least privilege access control 3. IAM users, roles, and policies - Data protection and encryption 1. KMS encryption services 2. Encryption in transit and at rest

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q278-Q283):

NEW QUESTION # 278
Which of the following are use cases for Amazon DynamoDB? Choose 3 answers

A. Storing BLOB data
B. Storing metadata for Amazon S3 objects
C. Managing web sessions
D. Running relational joins and complex updates
E. Storing JSON documents
F. Storing large amounts of infrequently accessed data

Answer: B,C,E

NEW QUESTION # 279
A solutions architect is deploying a distributed database on multiple Amazon EC2 instances. The database stores all data on multiple instances so it can withstand the loss of an instance. The database requires block storage with latency and throughput to support several million transactions per second per server.
Which storage solution should the solutions architect use?

A. Amazon EBS
B. Amazon S3
C. Amazon EC2 instance store
D. Amazon EFS

Answer: C

NEW QUESTION # 280
A corporate web application is deployed within an Amazon Virtual Private Cloud (VPC) and is connected to the corporate data center via an IPsec VPN. The application must authenticate against the on-premises LDAP server. After authentication, each logged-in user can only access an Amazon Simple Storage Space (53) keyspace specific to that user.
Which two approaches can satisfy these objectives? (Choose 2 answers)

A. The application authenticates against lAM Security Token Service using the LDAP credentials the application uses those temporary AWS security credentials to access the appropriate 53 bucket.
B. Develop an identity broker that authenticates against LDAP and then calls lAM Security To ken Service to get lAM federated user credentials The application calls the identity broker to get lAM federated user credentials with access to the appropriate 53 bucket.
C. Develop an identity broker that authenticates against lAM security Token service to assume a Lam role in order to get temporary AWS security credentials The application calls the identity broker to get AWS temporary security credentials with access to the appropriate 53 bucket.
D. The application authenticates against LDAP and retrieves the name of an lAM role associated with the user. The application then ca lls the lAM Security Token Service to assume that lAM role The application can use the temporary credentials to access the appropriate 53 bucket.
E. The application authenticates against LDAP the application then calls the AWS identity and Access Management (lAM) Security service to log in to lAM using the LDAP credentials the application can use the lAM temporary credentials to access the appropriate 53 bucket.

Answer: B,D

NEW QUESTION # 281
Your company plans to host a large donation website on Amazon Web Services (AWS).
You anticipate a large and undetermined amount of traffic that will create many database writes. To be certain that you do not drop any writes to a database hosted on AWS. Which service should you use?

A. Amazon DynamoDB with provisioned write throughput up to the anticipated peak write throughput.
B. Amazon RDS with provisioned IOPS up to the anticipated peak write throughput.
C. Amazon Simple Queue Service (SQS) for capturing the writes and draining the queue to write to the database.
D. Amazon ElastiCache to store the writes until the writes are committed to the database.

Answer: C

Explanation:
Explaination:
Amazon Simple Queue Service (Amazon SQS) offers a reliable, highly scalable hosted queue for storing messages as they travel between computers. By using Amazon SQS, developers can simply move data between distributed application components performing different tasks, without losing messages or requiring each component to be always available. Amazon SQS makes it easy to build a distributed, decoupled application, working in close conjunction with the Amazon Elastic Compute Cloud (Amazon EC2) and the other AWS infrastructure web services.
What can I do with Amazon SQS?
Amazon SQS is a web service that gives you access to a message queue that can be used to store messages while waiting for a computer to process them. This allows you to quickly build message queuing applications that can be run on any computer on the internet. Since Amazon SQS is highly scalable and you only pay for what you use, you can start small and grow your application as you wish, with no compromise on performance or reliability. This lets you focus on building sophisticated message-based applications, without worrying about how the messages are stored and managed. You can use Amazon SQS with software applications in various ways. For example, you can:
* Integrate Amazon SQS with other AWS infrastructure web services to make applications more reliable and flexible.
* Use Amazon SQS to create a queue of work where each message is a task that needs to be completed by a process. One or many computers can read tasks from the queue and perform them.
* Build a microservices architecture, using queues to connect your microservices.
* Keep notifications of significant events in a business process in an Amazon SQS queue. Each event can have a corresponding message in a queue, and applications that need to be aware of the event can read and process the messages.

NEW QUESTION # 282
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 file gateway to provide file storage 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 tape gateway to copy the backup of the local data to AWS, then perform analytics on this data in the AWS cloud.

Answer: B

Explanation:
Explanation/Reference: https://aws.amazon.com/storagegateway/file/

NEW QUESTION # 283
......

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