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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Design Resilient Architectures	26%	- Design highly available and/or fault-tolerant architectures 1. Multi-AZ deployments 2. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site) 3. Multi-Region architectures 4. AWS Global Accelerator 5. Amazon Route 53 routing policies - Design scalable and loosely coupled architectures 1. Amazon EventBridge 2. Amazon API Gateway 3. Amazon SQS and SNS 4. Elastic Load Balancing 5. Auto Scaling groups
Design High-Performing Architectures	24%	- Determine high-performing database solutions 1. Amazon ElastiCache (Redis/Memcached) 2. Amazon DynamoDB 3. Amazon RDS and Aurora 4. Amazon Redshift - Determine high-performing data ingestion and transformation solutions 1. AWS Glue 2. AWS Data Pipeline 3. Amazon MSK 4. Amazon Kinesis - Determine high-performing and/or scalable network architectures 1. Amazon CloudFront 2. VPC endpoints 3. AWS Global Accelerator 4. AWS Direct Connect 5. Amazon Route 53 - Design high-performing and elastic compute solutions 1. Amazon EC2 instance types and families 2. AWS Elastic Beanstalk 3. AWS Lambda 4. Amazon ECS and EKS - Determine high-performing and/or scalable storage solutions 1. Amazon FSx 2. Amazon S3 storage classes and lifecycle policies 3. Instance Store 4. Amazon EBS volume types 5. Amazon EFS
Design Secure Architectures	30%	- Design secure workloads and applications 1. Security groups and NACLs 2. Encryption at rest and in transit 3. AWS KMS and CloudHSM 4. AWS WAF and Shield - Design secure access to AWS resources 1. AWS Organizations and SCPs 2. IAM policies and roles 3. Multi-factor authentication (MFA) 4. Identity federation - Determine appropriate data security controls 1. Data classification 2. Data encryption strategies 3. Amazon Macie and GuardDuty 4. Data backup and recovery
Design Cost-Optimized Architectures	20%	- Design cost-optimized storage solutions 1. S3 Intelligent-Tiering 2. S3 storage classes and lifecycle policies 3. EBS volume type selection 4. EFS cost optimization - Design cost-optimized database solutions 1. RDS Reserved Instances 2. ElastiCache for caching 3. DynamoDB capacity modes (On-demand vs Provisioned) 4. Aurora Serverless - Design cost-optimized network architectures 1. CloudFront to reduce origin load 2. AWS Direct Connect for cost optimization 3. Data transfer costs 4. VPC endpoints to reduce NAT costs - Design cost-optimized compute solutions 1. Right-sizing instances 2. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans) 3. Auto Scaling for cost optimization 4. AWS Lambda pricing model

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q961-Q966):

NEW QUESTION # 961
A company hosts a data lake on AWS. The data lake consists of data in Amazon S3 and Amazon RDS for PostgreSQL. The company needs a reporting solution that provides data visualization and includes all the data sources within the data lake. Only the company's management team should have full access to all the visualizations. The rest of the company should have only limited access.
Which solution will meet these requirements?

A. Create an AWS Glue table and crawler for the data in Amazon S3. Use Amazon Athena Federated Query to access data within Amazon RDS for PoslgreSQL. Generate reports by using Amazon Athena. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
B. Create an AWS Glue table and crawler for the data in Amazon S3. Create an AWS Glue extract, transform, and load (ETL) job to produce reports. Publish the reports to Amazon S3. Use S3 bucket policies to limit access to the reports.
C. Create an analysis in Amazon QuickSight. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate IAM roles.
D. Create an analysis in Amazon OuickSighl. Connect all the data sources and create new datasets. Publish dashboards to visualize the data. Share the dashboards with the appropriate users and groups.

Answer: D

Explanation:
Amazon QuickSight is a data visualization service that allows you to create interactive dashboards and reports from various data sources, including Amazon S3 and Amazon RDS for PostgreSQL. You can connect all the data sources and create new datasets in QuickSight, and then publish dashboards to visualize the data. You can also share the dashboards with the appropriate users and groups, and control their access levels using IAM roles and permissions.

NEW QUESTION # 962
A company needs to design a resilient web application to process customer orders. The web application must automatically handle increases in web traffic and application usage without affecting the customer experience or losing customer orders. Which solution will meet these requirements?

A. Use a Network Load Balancer (NLB) to manage web traffic. Use an Application Load Balancer to receive customer orders from the NLB. Use Amazon Redshift with a Multi-AZ deployment to store unprocessed and processed customer orders.
B. Use a Gateway Load Balancer (GWLB) to manage web traffic. Use Amazon Elastic Container Service (Amazon ECS) to receive and process customer orders. Use the GWLB to capture and store unprocessed orders. Use Amazon DynamoDB to store processed customer orders.
C. Use a NAT gateway to manage web traffic. Use Amazon EC2 Auto Scaling groups to receive, process, and store processed customer orders. Use an AWS Lambda function to capture and store unprocessed orders.
D. Use an Application Load Balancer to manage web traffic. Use Amazon EC2 Auto Scaling groups to receive and process customer orders. Use Amazon Simple Queue Service (Amazon SQS) to store unprocessed orders. Use Amazon RDS with a Multi-AZ deployment to store processed customer orders.

Answer: D

Explanation:
This architecture uses ALB for routing, Auto Scaling for elasticity, SQS to buffer unprocessed orders and decouple services, and RDS Multi-AZ for high availability and durability of transactional data. This ensures resilience and fault tolerance even during traffic spikes.

NEW QUESTION # 963
A company runs a fleet of Amazon EC2 On-Demand Instances to support a document processing application that has variable usage patterns. The company wants to optimize compute costs for the application. The company needs a solution that can tolerate occasional disruptions to document processing jobs.
Which solution will meet these requirements?

A. Create a single EC2 Auto Scaling group. Set a mixed configuration of EC2 On-Demand Instances and EC2 Spot Instances.
B. Use the EC2 Spot Instance placement score feature to identify which instance type to use. Deploy the application on Spot Instances.
C. Replace the EC2 instances with an Amazon EKS cluster that uses AWS Fargate Spot capacity.
D. Continue to use EC2 On-Demand Instances. Purchase Convertible Reserved Instances.

Answer: A

Explanation:
Amixed Auto Scaling groupwith both On-Demand and Spot Instances is the best answer because AWS documents that mixed instances groups let you launch and automatically scale a fleet of On-Demand and Spot Instances in a single Auto Scaling group to optimize cost while maintaining scale and performance. Since the workload can tolerate occasional disruptions, Spot is appropriate, but keeping some On-Demand capacity adds stability. This is a more practical architecture than moving the whole workload to Spot alone. Continuing with only On-Demand or buying Reserved Instances would not optimize cost as well for variable usage.

NEW QUESTION # 964
A company has thousands of edge devices that collectively generate 1 TB of status alerts each day. Each alert is approximately 2 KB in size. A solutions architect needs to implement a solution to ingest and store the alerts for future analysis.
The company wants a highly available solution. However, the company needs to minimize costs and does not want to manage additional infrastructure. Ad ditionally, the company wants to keep 14 days of data available for immediate analysis and archive any data older than 14 days.
What is the MOST operationally efficient solution that meets these requirements?

A. Launch Amazon EC2 instances across two Availability Zones and place them behind an Elastic Load Balancer to ingest the alerts Create a script on the EC2 instances that will store tne alerts m an Amazon S3 bucket Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days
B. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon S3 bucket Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days
C. Create an Amazon Simple Queue Service (Amazon SQS i standard queue to ingest the alerts and set the message retention period to 14 days Configure consumers to poll the SQS queue check the age of the message and analyze the message data as needed If the message is 14 days old the consumer should copy the message to an Amazon S3 bucket and delete the message from the SQS queue
D. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon Elasticsearch Service (Amazon ES) duster Set up the Amazon ES cluster to take manual snapshots every day and delete data from the duster that is older than
14 days

Answer: B

Explanation:
https://aws.amazon.com/kinesis/data-firehose/features/?nc=sn&loc=2#:~:text=into%20Amazon%20S3%2C%20

NEW QUESTION # 965
A mobile application stores pictures in Amazon Simple Storage Service (S3) and allows application sign-in using an OpenID Connect-compatible identity provider.
Which AWS Security Token Service approach to temporary access should you use for this scenario?

A. Cross-Account Access
B. SAML-based Identity Federation
C. AWS Identity and Access Management roles
D. Web Identity Federation

Answer: D

Explanation:
With web identity federation, you don't need to create custom sign-in code or manage your own user identities. Instead, users of your app can sign in using a well-known identity provider (IdP) -such as Login with Amazon, Facebook, Google, or any other OpenID Connect (OIDC)-compatible IdP, receive an authentication token, and then exchange that token for temporary security credentials in AWS that map to an IAM role with permissions to use the resources in your AWS account. Using an IdP helps you keep your AWS account secure because you don't have to embed and distribute long-term security credentials with your application.
Explanation:
Reference:
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html Check out this AWS IAM Cheat Sheet:
https://tutorialsdojo.com/aws-identity-and-access-management-iam/

NEW QUESTION # 966
......

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