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Amazon AWS-Solutions-Associate Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q380-Q385):

NEW QUESTION # 380
You have been asked to design the storage layer for an application. The application requires disk performance of at least 100,000 IOPS in addition, the storage layer must be able to survive the loss of an individual disk. EC2 instance, or Availability Zone without any data loss. The volume you provide must have a capacity of at least 3 TB. Which of the following designs will meet these objectives'?

A. Instantiate a c3.8xlarge instance in us-east-1. Provision an AWS Storage Gateway and configure it for 3 TB of storage and 100,000 IOPS. Attach the volume to the instance. E.
Instantiate an i2.8xlarge instance in us-east-1a. Create a RAID 0 volume using the four
800GB SSD ephemeral disks provided with the instance. Configure synchronous, block- level replication to an identically configured instance in us-east-1b.
B. Instantiate a c3.8xlarge instance in us-east-1. Provision 4x1TB EBS volumes, attach them to the instance, and configure them as a single RAID 5 volume. Ensure that EBS snapshots are performed every 15 minutes.
C. Instantiate a c3.8xlarge instance in us-east-1. Provision 3xlTB EBS volumes, attach them to the Instance, and configure them as a single RAID 0 volume. Ensure that EBS snapshots are performed every 15 minutes.
D. Instantiate an i2.8xlarge instance in us-east-1a. Create a RAID 0 volume using the four
800GB SSD ephemeral disks provided with the instance. Provision 3x1TB EBS volumes, attach them to the instance, and configure them as a second RAID 0 volume. Configure synchronous, block-level replication from the ephemeral-backed volume to the EBS-backed volume.

Answer: D

NEW QUESTION # 381
A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-the-shelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces.
Which solution will meet these requirements with the LEAST operational overhead?

A. Develop a Python script that runs on Amazon EC2 instances to convert the. csv files to sql files invoke the Python script on cron schedule to store the output files in Amazon S3.
B. Create a AWS Glue extract, transform, and load (ETL) job that runs on a schedule. Configure the ETL job to process the .csv files and store the processed data in Amazon Redshit.
C. Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.
D. Use Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, tractform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table.

Answer: B

Explanation:
Explanation
This solution meets the requirements of implementing a solution so that the COTS application can use the data that the legacy application produces with the least operational overhead. AWS Glue is a fully managed service that provides a serverless ETL platform to prepare and load data for analytics. AWS Glue can process data in various formats, including .csv files, and store the processed data in Amazon Redshift, which is a fully managed data warehouse service that supports complex SQL queries. AWS Glue can run ETL jobs on a schedule, which can automate the data processing and loading process.
Option B is incorrect because developing a Python script that runs on Amazon EC2 instances to convert the
.csv files to sql files can increase the operational overhead and complexity, and it may not provide consistent data processing and loading for the COTS application. Option C is incorrect because creating an AWS Lambda function and an Amazon DynamoDB table to process the .csv files and store the processed data in the DynamoDB table does not meet the requirement of using Amazon Redshift as the data source for the COTS application. Option D is incorrect because using Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule to process the .csv files and store the processed data in an Amazon Redshift table can increase the operational overhead and complexity, and it may not provide timely data processing and loading for the COTS application.
References:
https://aws.amazon.com/glue/
https://aws.amazon.com/redshift/

NEW QUESTION # 382
A company has data collection sensors at different locations. The data collection sensors stream a high volume of data to the company. The company wants to design a platform on AWS to ingest and process high-volume streaming data. The solution must be scalable and support data collection in near real time. The company must store the data in Amazon S3 for future reporting.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Glue to deliver streaming data to Amazon S3.
B. Use Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3.
C. Use AWS Database Migration Service (AWS DMS) to deliver streaming data to Amazon S3.
D. Use AWS Lambda to deliver streaming data and store the data to Amazon S3.

Answer: B

Explanation:
To ingest and process high-volume streaming data with the least operational overhead, Amazon Kinesis Data Firehose is a suitable solution. Amazon Kinesis Data Firehose can capture, transform, and deliver streaming data to Amazon S3 or other destinations. Amazon Kinesis Data Firehose can scale automatically to match the throughput of the data and handle any amount of data. Amazon Kinesis Data Firehose is also a fully managed service that does not require any servers to provision or manage.
References:
What Is Amazon Kinesis Data Firehose?
Amazon Kinesis Data Firehose Pricing

NEW QUESTION # 383
What are characteristics Os Amazon S3?
Choose 2 answers

A. S3 offers Provisioned IOPS
B. S3 allows you to store unlimited amounts of data
C. S3 allows you to store objects of virtually unlimited size
D. S3 should be used to host a relational database
E. Objects are directly accessible via a URL

Answer: B,E

NEW QUESTION # 384
Your company has separate AWS accounts for development and production. Each developer is assigned an IAM user in the development account. Developers occasionally need to access the production account to roll out changes to that environment. Your company does not allow the creation of IAM users in the production account.
What strategy will allow the development team to access the production account?

A. Create an IAM group in the production account. Grant IAM users in the development account membership in the group.
B. Create an IAM group in the development account. Grant IAM users in the development account membership in the group.
C. Create an IAM role in the production account. Allow IAM users in the development account to assume the role.
D. Create an IAM role in the development account. Allow IAM users in the development account to assume the role.

Answer: C

NEW QUESTION # 385
......

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