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

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q48-Q53):

NEW QUESTION # 48
A company is reviewing a recent migration of a three-tier application to a VPC. The security team discovers that the principle of least privilege is not being applied to Amazon EC2 security group ingress and egress rules between the application tiers.
What should a solutions architect do to correct this issue?

A. Create security group rules using the security group ID as the source or destination.
B. Create security group rules using the subnet CIDR blocks as the source or destination.
C. Create security group rules using the instance ID as the source or destination.
D. Create security group rules using the VPC CIDR blocks as the source or destination.

Answer: A

Explanation:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/security-group-rules.html

NEW QUESTION # 49
A company is currently in the design phase of an application that will need an RPO of less than 5 minutes and an RTO of less than 10 minutes. The solutions architecture team is forecasting that the database will store approximately 10 TB of data. As part of the design, they are looking for a database solution that will provide the company with the ability to fail over to a secondary Region.
Which solution will meet these business requirements at the LOWEST cost?

A. Deploy an Amazon RDS instance with a read replica in the same Region. In the event of a failure, promote the read replica to become the primary.
B. Deploy an Amazon Aurora DB cluster in the primary Region and another in a secondary Region. Use AWS DMS to keep the secondary Region in sync.
C. Deploy an Amazon RDS instance with a cross-Region read replica in a secondary Region. In the event of a failure, promote the read replica to become the primary.
D. Deploy an Amazon Aurora DB cluster and take snapshots of the cluster every 5 minutes. Once a snapshot is complete, copy the snapshot to a secondary Region to serve as a backup in the event of a failure.

Answer: C

NEW QUESTION # 50
Which of the following is NOT a characteristic of Amazon Elastic Compute Cloud (Amazon EC2)?

A. It offers scalable computing capacity in the Amazon Web Services (AWS) cloud.
B. It increases the need to forecast traffic by providing dynamic IP addresses for static cloud computing.
C. It eliminates your need to invest in hardware up front, so you can develop and deploy applications faster.
D. It can be used to launch as many or as few virtual servers as you need.

Answer: B

Explanation:
Amazon Elastic Compute Cloud (Amazon EC2) provides scalable computing capacity in the Amazon Web
Services (AWS) cloud. Using Amazon EC2 eliminates your need to invest in hardware up front, so you can develop and deploy applications faster. You can use Amazon EC2 to launch as many or as few virtual servers as you need, configure security and networking, and manage storage. Amazon EC2 enables you to scale up or down to handle changes in requirements or spikes in popularity, reducing your need to forecast traffic.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html

NEW QUESTION # 51
A prediction process requires access to a trained model that is stored in an Amazon S3 bucket.
The process takes a few seconds to process an image and make a prediction. The process takes a few seconds to process an image and make a prediction. The process is not overly resource- intensive, does not require any specialized hardware, and takes less than 512 MB of memory to run.
What would be the MOST effective compute solution for this use case?

A. Amazon ECS
B. AWS Elastic Beanstalk
C. AWS Lambda functions
D. Amazon EC2 Spot instances

Answer: C

NEW QUESTION # 52
A company has an application that places hundreds of .csv files into an Amazon S3 bucket every hour. The files are 1 GB in size. Each time a file is uploaded, the company needs to convert the file to Apache Parquet format and place the output file into an S3 bucket.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Lambda function to download the .csv files, convert the files to Parquet format, and place the output files in an S3 bucket. Invoke the Lambda function for each S3 PUT event.
B. Create an Apache Spark job to read the .csv files, convert the files to Parquet format, and place the output files in an S3 bucket. Create an AWS Lambda function for each S3 PUT event to invoke the Spark job.
C. Create an AWS Glue table and an AWS Glue crawler for the S3 bucket where the application places the
.csv files. Schedule an AWS Lambda function to periodically use Amazon Athena to query the AWS Glue table, convert the query results into Parquet format, and place the output files into an S3 bucket.
D. Create an AWS Glue extract, transform, and load (ETL) job to convert the .csv files to Parquet format and place the output files into an S3 bucket. Create an AWS Lambda function for each S3 PUT event to invoke the ETL job.

Answer: D

Explanation:
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/three-aws-glue-etl-job-types-for-converting-d

NEW QUESTION # 53
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