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| Section | Weight | Objectives |
|---|
| Topic 1: Design Secure Architectures | 30% | - Design secure workloads and applications
- 1. Data protection and encryption (at rest/in transit)
- 2. Network security (VPC, security groups, NACLs)
- 3. Compliance and governance controls
- Design secure access to AWS resources
- 1. Multi-account access and control
- 2. Identity and access management (IAM, IAM Identity Center)
- 3. Security best practices and least privilege
- 4. Shared responsibility model
- Design for security and threat detection
- 1. Incident response and security automation
- 2. Monitoring and logging services
|
| Topic 2: Design High-Performing Architectures | 24% | - Design high-performance networking solutions
- 1. Global acceleration and routing
- 2. Network architecture and connectivity
- 3. Latency reduction and throughput optimization
- Design high-performance storage solutions
- 1. Storage performance and durability
- 2. Storage types (object, block, file)
- 3. Caching and content delivery
- Design high-performance compute solutions
- 1. Scaling and performance optimization
- 2. Instance types and sizing
- 3. Compute options (EC2, Lambda, ECS, EKS)
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and fault-tolerant architectures
- 1. Regions, Availability Zones, and edge locations
- 2. Load balancing and auto scaling
- 3. Replication and disaster recovery strategies
- Design decoupled and loosely coupled systems
- 1. Event-driven architectures
- 2. Messaging and queue services
- 3. Serverless and managed service integration
- Design for reliability and recovery
- 1. Backup and restore mechanisms
- 2. Failover and failback processes
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- Design cost-effective compute and network solutions
- 1. Serverless and pay-as-you-go models
- 2. Data transfer cost optimization
- 3. Right-sizing and reserved instances
- Control and monitor costs
- 1. Resource tagging and allocation
- 2. Cost management tools and alerts
|
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SAA-C03 Exam Questions - AWS Certified Solutions Architect - Associate Exam Tests & SAA-C03 Test Guide
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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q241-Q246):
NEW QUESTION # 241
A company hosts a marketing website in an on-premises data center. The website consists of static documents and runs on a single server. An administrator updates the website content infrequently and uses an SFTP client to upload new documents.
The company decides to host its website on AWS and to use Amazon CloudFront. The company's solutions architect creates a CloudFront distribution. The solutions architect must design the most cost-effective and resilient architecture for website hosting to serve as the CloudFront origin.
Which solution will meet these requirements?
- A. Create a virtual server by using Amazon Lightsail. Configure the web server in the Lightsail instance.
Upload website content by using an SFTP client. - B. Create an AWS Auto Scaling group for Amazon EC2 instances. Use an Application Load Balancer.
Upload website content by using an SFTP client. - C. Create a private Amazon S3 bucket. Use an S3 bucket policy to allow access from a CloudFront origin access identity (OAI). Upload website content by using theAWSCLI.
- D. Create a public Amazon S3 bucket. Configure AWS Transfer for SFTP. Configure the S3 bucket for website hosting. Upload website content by using the SFTP client.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/cli/latest/reference/transfer/describe-server.html
NEW QUESTION # 242
A company wants to measure the effectiveness of its recent marketing campaigns. The company performs batch processing on csv files of sales data and stores the results in an Amazon S3 bucket once every hour. The S3 bi petabytes of objects. The company runs one-time queries in Amazon Athena to determine which products are most popular on a particular date for a particular region Queries sometimes fail or take longer than expected to finish.
Which actions should a solutions architect take to improve the query performance and reliability? (Select TWO.)
- A. Partition the data by date and region n Amazon S3
- B. Reduce the S3 object sizes to less than 126 MB
- C. Use an AWS duo extract, transform, and load (ETL) process to convert the csv files into Apache Parquet format.
- D. Store the files as large, single objects in Amazon S3.
- E. Use Amazon Kinosis Data Analytics to run the Queries as pan of the batch processing operation
Answer: A,C
Explanation:
https://aws.amazon.com/blogs/big-data/top-10-performance-tuning-tips-for-amazon-athena/ This solution meets the requirements of measuring the effectiveness of marketing campaigns by performing batch processing on csv files of sales data and storing the results in an Amazon S3 bucket once every hour. An AWS duo ETL process can use services such as AWS Glue or AWS Data Pipeline to extract data from S3, transform it into a more efficient format such as Apache Parquet, and load it back into S3. Apache Parquet is a columnar storage format that can improve the query performance and reliability of Athena by reducing the amount of data scanned, improving compression ratio, and enabling predicate pushdown.
NEW QUESTION # 243
[Design High-Performing Architectures]
A solutions architect needs to optimize a large data analytics job that runs on an Amazon EMR cluster. The job takes 13 hours to finish. The cluster has multiple core nodes and worker nodes deployed on large, compute-optimized instances.
After reviewing EMR logs, the solutions architect discovers that several nodes are idle for more than 5 hours while the job is running. The solutions architect needs to optimize cluster performance.
Which solution will meet this requirement MOST cost-effectively?
- A. Use the EMR managed scaling feature to automatically resize the cluster based on workload.
- B. Migrate the analytics job core nodes to a memory-optimized instance type to reduce the total job runtime.
- C. Migrate the analytics job to a set of AWS Lambda functions. Configure reserved concurrency for the functions.
- D. Increase the number of core nodes to ensure there is enough processing power to handle the analytics job without any idle time.
Answer: A
Explanation:
EMR managed scaling dynamically resizes the cluster by adding or removing nodes based on the workload. This feature helps minimize idle time and reduces costs by scaling the cluster to meet processing demands efficiently.
Option A:Increasing the number of core nodes might increase idle time further, as it does not address the root cause of underutilization.
Option C:Migrating the job to Lambda is infeasible for large analytics jobs due to resource and runtime constraints.
Option D:Changing to memory-optimized instances may not necessarily reduce idle time or optimize costs.
AWS Documentation Reference:
EMR Managed Scaling
NEW QUESTION # 244
A company has an application that collects data from loT sensors on automobiles. The data is streamed and stored in Amazon S3 through Amazon Kinesis Date Firehose The data produces trillions of S3 objects each year. Each morning, the company uses the data from the previous 30 days to retrain a suite of machine learning (ML) models.
Four times each year, the company uses the data from the previous 12 months to perform analysis and train other ML models The data must be available with minimal delay for up to 1 year. After 1 year, the data must be retained for archival purposes.
Which storage solution meets these requirements MOST cost-effectively?
- A. Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.
- B. Use the S3 Intelligent-Tiering storage class. Configure S3 Intelligent-Tiering to automatically move objects to S3 Glacier Deep Archive after 1 year.
- C. Use the S3 Intelligent-Tiering storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year
- D. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days, and then to S3 Glacier Deep Archive after 1 year.
Answer: D
Explanation:
Explanation
- First 30 days- data access every morning ( predictable and frequently) - S3 standard - After 30 days, accessed 4 times a year - S3 infrequently access - Data preserved- S3 Gllacier Deep Archive
NEW QUESTION # 245
[Design Secure Architectures]
A finance company has a web application that generates credit reports for customers. The company hosts the frontend of the web application on a fleet of Amazon EC2 instances that is associated with an Application Load Balancer (ALB). The application generates reports by running queries on an Amazon RDS for SQL Server database.
The company recently discovered that malicious traffic from around the world is abusing the application by submitting unnecessary requests. The malicious traffic is consuming significant compute resources. The company needs to address the malicious traffic.
Which solution will meet this requirement?
- A. Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Use the AWS WAF Bot Control managed rule feature.
- B. Set up AWS Shield to protect the ALB and the database.
- C. Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Update the web ACL to block IP addresses that are associated with malicious traffic.
- D. Use AWS WAF to create a web ACL. Associate the web ACL with the ALB. Configure the AWS WAF IP reputation rule.
Answer: A
Explanation:
TheAWS WAF Bot Control managed ruleis designed to automatically detect and mitigate bot traffic. This feature is particularly useful for addressing malicious traffic and conserving compute resources by filtering unnecessary requests at the ALB level.
Option A:Blocking IP addresses manually introduces significant operational overhead and is not scalable against dynamic, worldwide malicious traffic.
Option C:AWS Shield provides DDoS protection, but the scenario does not describe a DDoS attack. WAF is better suited for managing application-layer threats like bot traffic.
Option D:The AWS WAF IP reputation rule helps block traffic from known bad IPs but may not address bot traffic effectively.
AWS Documentation Reference:
AWS WAF Bot Control
AWS WAF Managed Rules
NEW QUESTION # 246
......
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