SAA-C03 Vorbereitungsfragen, SAA-C03 Prüfung

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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized network architectures
- 1. Data transfer costs
- 2. AWS Direct Connect for cost optimization
- 3. VPC endpoints to reduce NAT costs
- 4. CloudFront to reduce origin load
- Design cost-optimized compute solutions
- 1. AWS Lambda pricing model
- 2. Right-sizing instances
- 3. Auto Scaling for cost optimization
- 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- Design cost-optimized storage solutions
- 1. S3 storage classes and lifecycle policies
- 2. EBS volume type selection
- 3. S3 Intelligent-Tiering
- 4. EFS cost optimization
- Design cost-optimized database solutions
- 1. Aurora Serverless
- 2. ElastiCache for caching
- 3. DynamoDB capacity modes (On-demand vs Provisioned)
- 4. RDS Reserved Instances
|
| Design High-Performing Architectures | 24% | - Determine high-performing and/or scalable network architectures
- 1. AWS Global Accelerator
- 2. VPC endpoints
- 3. Amazon CloudFront
- 4. Amazon Route 53
- 5. AWS Direct Connect
- Determine high-performing data ingestion and transformation solutions
- 1. Amazon Kinesis
- 2. AWS Glue
- 3. AWS Data Pipeline
- 4. Amazon MSK
- Determine high-performing database solutions
- 1. Amazon ElastiCache (Redis/Memcached)
- 2. Amazon RDS and Aurora
- 3. Amazon Redshift
- 4. Amazon DynamoDB
- Design high-performing and elastic compute solutions
- 1. Amazon EC2 instance types and families
- 2. AWS Lambda
- 3. AWS Elastic Beanstalk
- 4. Amazon ECS and EKS
- Determine high-performing and/or scalable storage solutions
- 1. Amazon S3 storage classes and lifecycle policies
- 2. Amazon FSx
- 3. Amazon EFS
- 4. Instance Store
- 5. Amazon EBS volume types
|
| Design Resilient Architectures | 26% | - Design highly available and/or fault-tolerant architectures
- 1. AWS Global Accelerator
- 2. Multi-Region architectures
- 3. Multi-AZ deployments
- 4. Amazon Route 53 routing policies
- 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- Design scalable and loosely coupled architectures
- 1. Elastic Load Balancing
- 2. Amazon API Gateway
- 3. Auto Scaling groups
- 4. Amazon SQS and SNS
- 5. Amazon EventBridge
|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Multi-factor authentication (MFA)
- 2. AWS Organizations and SCPs
- 3. IAM policies and roles
- 4. Identity federation
- Design secure workloads and applications
- 1. Security groups and NACLs
- 2. AWS WAF and Shield
- 3. Encryption at rest and in transit
- 4. AWS KMS and CloudHSM
- Determine appropriate data security controls
- 1. Amazon Macie and GuardDuty
- 2. Data backup and recovery
- 3. Data encryption strategies
- 4. Data classification
|
>> SAA-C03 Vorbereitungsfragen <<
AWS Certified Solutions Architect - Associate cexamkiller Praxis Dumps & SAA-C03 Test Training Überprüfungen
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Amazon AWS Certified Solutions Architect - Associate SAA-C03 Prüfungsfragen mit Lösungen (Q656-Q661):
656. Frage
A company has developed a new content-sharing application that runs on Amazon ECS. The application runs on Amazon Linux Docker tasks that use the Amazon EC2 launch type. The application requires a storage solution that has the following characteristics:
* Accessibility for multiple ECS tasks through bind mounts
* Resiliency across Availability Zones
* Burstable throughput of up to 3 Gbps
* Ability to scale up over time
Which storage solution meets these requirements?
- A. Create an Amazon EFS file system. Configure the ECS task definitions to mount the EFS file-system volume at launch.
- B. Create a Provisioned IOPS SSD (io2) Amazon EBS volume with Multi-Attach enabled. Attach the EBS volume to the ECS container instance. Configure the ECS task definitions to mount the EBS volume at launch.
- C. Launch an EC2 instance with several Provisioned IOPS SSD (io2) Amazon EBS volumes attached in a RAID 0 configuration. Configure the EC2 instance as an NFS storage server. Configure the ECS task definitions to mount the volumes at launch.
- D. Launch an Amazon FSx for Windows File Server Multi-AZ file system. Configure the ECS task definitions to mount the FSx file-system volume at launch.
Antwort: A
Begründung:
Amazon EFS provides fully managed, elastic NFS file storage that can be mounted concurrently by multiple Linux-based Amazon ECS tasks. The shared file system remains accessible regardless of which EC2 container instance is running a particular task. A Regional EFS file system stores data across multiple Availability Zones, satisfying the resiliency requirement. EFS capacity automatically increases and decreases as files are added or removed, so the company does not need to provision storage in advance. EFS also supports burstable throughput suitable for demanding content-sharing workloads. Amazon FSx for Windows File Server uses the SMB protocol and is not the appropriate choice for Amazon Linux containers. EBS Multi- Attach is limited to supported EBS volumes within one Availability Zone and does not provide Regional shared storage. A self-managed NFS server on EC2 introduces a single point of failure and administrative overhead.
657. Frage
[Design High-Performing Architectures]
A company is building a microservices-based application that will be deployed on Amazon Elastic Kubernetes Service (Amazon EKS). The microservices will interact with each other. The company wants to ensure that the application is observable to identify performance issues in the future.
Which solution will meet these requirements?
- A. Configure the application to use Amazon ElastiCache to reduce the number of requests that are sent to the microservices.
- B. Configure AWS CloudTrail to review the API calls. Build an Amazon QuickSight dashboard to observe the microservice interactions.
- C. Configure Amazon CloudWatch Container Insights to collect metrics from the EKS clusters Configure AWS X-Ray to trace the requests between the microservices.
- D. Use AWS Trusted Advisor to understand the performance of the application.
Antwort: C
Begründung:
This solution meets the requirements because it enables the company to observe the performance and behavior of its microservices-based application on Amazon EKS. Amazon CloudWatch Container Insights is a feature that collects, aggregates, and summarizes metrics and logs from containerized applications and microservices. Container Insights integrates with Amazon EKS and Kubernetes to provide metrics at the cluster, node, pod, task, and service level. You can use Container Insights to monitor the CPU, memory, disk, and network utilization of your EKS clusters and identify bottlenecks, latency spikes, and other issues. AWS X-Ray is a service that collects data about requests that your application serves, and provides tools that you can use to view, filter, and gain insights into that data. X-Ray integrates with Amazon EKS and Kubernetes to trace the requests that your microservices make to downstream AWS resources, microservices, databases, and web APIs. You can use X-Ray to analyze the root cause of errors, faults, and performance issues, and visualize the service map of your application.
Reference:
Using Container Insights
AWS X-Ray
658. Frage
A company needs to run a critical data processing workload that uses a Python script every night. The workload takes 1 hour to finish.
Which solution will meet these requirements MOST cost-effectively?
- A. Create an Amazon EC2 On-Demand Instance that runs Amazon Linux. Migrate the Python script to the instance. Use a cron job to schedule the script. Create an AWS Lambda function to start and stop the instance once every night.
- B. Deploy an Amazon Elastic Container Service (Amazon ECS) cluster with the Amazon EC2 launch type. Schedule the job to run once every night.
- C. Deploy an Amazon Elastic Container Service (Amazon ECS) cluster with the AWS Fargate launch type. Use the Fargate Spot capacity provider. Schedule the job to run once every night.
- D. Create an AWS Lambda function that uses the existing Python code. Configure Amazon EventBridge to invoke the function once every night.
Antwort: C
Begründung:
AWS Fargate with Spot capacity is the most cost-effective and serverless container option for short- duration jobs that are flexible on start time. Since the job is not latency-critical and runs nightly, it is a good candidate for Fargate Spot, which can offer up to 70% cost savings over On-Demand pricing.
The job runs for 1 hour, which exceeds the AWS Lambda maximum execution time (15 minutes). Therefore, Lambda is not suitable. EC2-based solutions involve higher operational overhead and cost, making Fargate Spot the best low-cost, low-maintenance solution.
659. Frage
A company is running a popular social media website. The website gives users the ability to upload images to share with other users. The company wants to make sure that the images do not contain inappropriate content. The company needs a solution that minimizes development effort.
What should a solutions architect do to meet these requirements?
- A. Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.
- B. Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.
- C. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.
- D. Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.
Antwort: C
660. Frage
A company stores customer data in a multitenant Amazon S3 bucket. Each customer's data is stored in a prefix that is unique to the customer. The company needs to migrate data for specific customers to a new. dedicated S3 bucket that is in the same AWS Region as the source bucket.
The company must preserve object metadata such as creation date and version IDs. After the migration is finished, the company must delete the source data for the migrated customers from the original multitenant S3 bucket. Which combination of solutions will meet these requirements with the LEAST overhead? (Select THREE.)
- A. Use an S3 Lifecycle policy to delete objects from the source bucket after the data is migrated to the destination bucket.
- B. Use S3 batch operations to copy objects from the specified prefixes to the destination bucket.
- C. Use the S3 CopyObject API, and create a script to copy data to the destination S3 bucket.
- D. Configure AWS DataSync to migrate data from the specified prefixes in the source bucket to the destination bucket.
- E. Create a new S3 bucket as a destination bucket. Enable versioning on the new bucket.
- F. Configure S3 Same-Region Replication (SRR) to replicate existing data from the specified prefixes in the source bucket to the destination bucket.
Antwort: A,B,E
Begründung:
The combination of these solutions provides an efficient and automated way to migrate data while preserving metadata and ensuring cleanup:
Create a new S3 bucket with versioning enabled(Option A) to preserve object metadata like version IDs during migration.
Use S3 batch operations(Option B) to efficiently copy data from specific prefixes in the source bucket to the destination bucket, ensuring minimal overhead.
Use an S3 Lifecycle policy(Option F) to automatically delete the data from the source bucket after it has been migrated, reducing manual intervention.
Option C (CopyObject API): This approach would require more manual scripting and effort.
Option D (Same-Region Replication): SRR is designed for ongoing replication, not for one-time migrations.
Option E (DataSync): DataSync adds more complexity than necessary for this task.
661. Frage
......
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