SAA-C03유효한공부문제 & SAA-C03최신시험예상문제모음

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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Secure Architectures30%- Design secure access to AWS resources
  • 1. Multi-factor authentication (MFA)
  • 2. AWS Organizations and SCPs
  • 3. IAM policies and roles
  • 4. Identity federation
- Determine appropriate data security controls
  • 1. Amazon Macie and GuardDuty
  • 2. Data encryption strategies
  • 3. Data classification
  • 4. Data backup and recovery
- Design secure workloads and applications
  • 1. AWS WAF and Shield
  • 2. Encryption at rest and in transit
  • 3. Security groups and NACLs
  • 4. AWS KMS and CloudHSM
Design High-Performing Architectures24%- Determine high-performing and/or scalable storage solutions
  • 1. Instance Store
  • 2. Amazon EFS
  • 3. Amazon S3 storage classes and lifecycle policies
  • 4. Amazon EBS volume types
  • 5. Amazon FSx
- Design high-performing and elastic compute solutions
  • 1. AWS Elastic Beanstalk
  • 2. AWS Lambda
  • 3. Amazon EC2 instance types and families
  • 4. Amazon ECS and EKS
- Determine high-performing and/or scalable network architectures
  • 1. AWS Direct Connect
  • 2. Amazon CloudFront
  • 3. AWS Global Accelerator
  • 4. VPC endpoints
  • 5. Amazon Route 53
- Determine high-performing database solutions
  • 1. Amazon Redshift
  • 2. Amazon ElastiCache (Redis/Memcached)
  • 3. Amazon RDS and Aurora
  • 4. Amazon DynamoDB
- Determine high-performing data ingestion and transformation solutions
  • 1. AWS Glue
  • 2. Amazon MSK
  • 3. AWS Data Pipeline
  • 4. Amazon Kinesis
Design Cost-Optimized Architectures20%- Design cost-optimized network architectures
  • 1. VPC endpoints to reduce NAT costs
  • 2. AWS Direct Connect for cost optimization
  • 3. CloudFront to reduce origin load
  • 4. Data transfer costs
- Design cost-optimized storage solutions
  • 1. EFS cost optimization
  • 2. S3 Intelligent-Tiering
  • 3. EBS volume type selection
  • 4. S3 storage classes and lifecycle policies
- Design cost-optimized database solutions
  • 1. DynamoDB capacity modes (On-demand vs Provisioned)
  • 2. Aurora Serverless
  • 3. ElastiCache for caching
  • 4. RDS Reserved Instances
- Design cost-optimized compute solutions
  • 1. AWS Lambda pricing model
  • 2. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
  • 3. Auto Scaling for cost optimization
  • 4. Right-sizing instances
Design Resilient Architectures26%- Design highly available and/or fault-tolerant architectures
  • 1. AWS Global Accelerator
  • 2. Multi-AZ deployments
  • 3. Amazon Route 53 routing policies
  • 4. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
  • 5. Multi-Region architectures
- Design scalable and loosely coupled architectures
  • 1. Amazon SQS and SNS
  • 2. Auto Scaling groups
  • 3. Amazon API Gateway
  • 4. Elastic Load Balancing
  • 5. Amazon EventBridge

>> SAA-C03유효한 공부문제 <<

SAA-C03최신 시험 예상문제모음 - SAA-C03인증덤프공부문제

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최신 AWS Certified Solutions Architect SAA-C03 무료샘플문제 (Q74-Q79):

질문 # 74
A company is building a three-tier application on AWS. The presentation tier will serve a static website. The logic tier is a containerized application. This application will store data in a relational database. The company wants to simplify deployment and to reduce operational costs.
Which solution will meet these requirements?

정답：A

설명：
Amazon S3 is an object storage service that offers industry-leading scalability, data availability, security, and performance. You can use Amazon S3 to host static content for your website, such as HTML files, images, videos, etc. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. AWS Fargate is a serverless compute engine for containers that works with both Amazon ECS and Amazon EKS. Fargate makes it easy for you to focus on building your applications by removing the need to provision and manage servers. You can use Amazon ECS with AWS Fargate for compute power for your containerized application logic tier.
Amazon RDS is a managed relational database service that makes it easy to set up, operate, and scale a relational database in the cloud. You can use a managed Amazon RDS cluster for the database tier of your application. This solution will simplify deployment and reduce operational costs for your three-tier application. References: https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html https://docs.aws.amazon.com
/AmazonRDS/latest/UserGuide/Welcome.html


질문 # 75
A company is building a serverless application that processes large volumes of data from a mobile app. A Lambda function processes the data and stores it in DynamoDB. The company must ensure the application can recover from failures and continue processing without losing records.
Which solution will meet these requirements?

정답：A

설명：
AWS documentation states that when Lambda processes events, a dead-letter queue (DLQ) using Amazon SQS is the correct mechanism to capture failed invocations for later reprocessing.
SQS provides durable buffering and decoupling, allowing records to be retried safely without loss.
Kinesis Firehose (Option B) does not support SQL replays or arbitrary replay control. SNS (Option D) is not a durable store. OpenSearch (Option C) is not intended for durable retry queues.


질문 # 76
A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.
What should a solutions architect do to transmit and process the clickstream data?

정답：A

설명：
https://aws.amazon.com/es/blogs/big-data/real-time-analytics-with-amazon-redshift-streaming-ingestion/


질문 # 77
A company has several web servers that need to frequently access a common Amazon RDS MySQL Multi-AZ DB instance. The company wants a secure method for the web servers to connect to the database while meeting a security requirement to rotate user credentials frequently. Which solution meets these requirements?

정답：A

설명：
Secrets Manager enables you to replace hardcoded credentials in your code, including passwords, with an API call to Secrets Manager to retrieve the secret programmatically. This helps ensure the secret can't be compromised by someone examining your code, because the secret no longer exists in the code. Also, you can configure Secrets Manager to automatically rotate the secret for you according to a specified schedule. This enables you to replace long-term secrets with short-term ones, significantly reducing the risk of compromise.
https://docs.aws.amazon.com/secretsmanager/latest/userguide/intro.html


질문 # 78
A company has created an image analysis application in which users can upload photos and add photo frames to their images. The users upload images and metadata to indicate which photo frames they want to add to their images. The application uses a single Amazon EC2 instance and Amazon DynamoDB to store the metadata.
The application is becoming more popular, and the number of users is increasing. The company expects the number of concurrent users to vary significantly depending on the time of day and day of week. The company must ensure that the application can scale to meet the needs of the growing user base.
Which solution meats these requirements?

정답：B

설명：
Explanation
https://www.quora.com/How-can-I-use-DynamoDB-for-storing-metadata-for-Amazon-S3-objects This solution meets the requirements of scalability, performance, and availability. AWS Lambda can process the photos in parallel and scale up or down automatically depending on the demand. Amazon S3 can store the photos and metadata reliably and durably, and provide high availability and low latency. DynamoDB can store the metadata efficiently and provide consistent performance. This solution also reduces the cost and complexity of managing EC2 instances and EBS volumes.
Option A is incorrect because storing the photos in DynamoDB is not a good practice, as it can increase the storage cost and limit the throughput. Option B is incorrect because Kinesis Data Firehose is not designed for processing photos, but for streaming data to destinations such as S3 or Redshift. Option D is incorrect because increasing the number of EC2 instances and using Provisioned IOPS SSD volumes does not guarantee scalability, as it depends on the load balancer and the application code. It also increases the cost and complexity of managing the infrastructure.
References:
* https://aws.amazon.com/certification/certified-solutions-architect-professional/
* https://www.examtopics.com/discussions/amazon/view/7193-exam-aws-certified-solutions-architect-profe
* https://aws.amazon.com/architecture/


질문 # 79
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