MLA-C01유효한시험덤프인증시험공부자료

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Amazon MLA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Model Deployment and Inference	20%	- Inference optimization (latency, throughput) - Model deployment strategies (real-time, batch) - SageMaker endpoints configuration - A/B testing and shadow mode deployment - Model versioning and rollback
Model Development	30%	- Transfer learning and fine-tuning - Training and validation strategies - Distributed training - Hyperparameter optimization - ML frameworks (SageMaker, built-in algorithms) - Algorithm selection and model architecture
Data Processing	22%	- Data validation and quality assessment - Handling imbalanced data - Data pipelining with AWS services ( Glue, Data Brew, etc.) - Data ingestion and transformation - Data preprocessing and feature engineering
MLOps and Monitoring	28%	- Cost optimization for ML workloads - CI/CD pipelines for ML - Model monitoring and drift detection - Security and access management for ML - Model lineage and reproducibility - Incident response and remediation

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MLA-C01최신 덤프문제모음집 - MLA-C01시험패스 가능 공부자료

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최신 AWS Certified Associate MLA-C01 무료샘플문제 (Q86-Q91):

질문 # 86
A company wants to reduce the cost of its containerized ML applications. The applications use ML models that run on Amazon EC2 instances, AWS Lambda functions, and an Amazon Elastic Container Service (Amazon ECS) cluster. The EC2 workloads and ECS workloads use Amazon Elastic Block Store (Amazon EBS) volumes to save predictions and artifacts.
An ML engineer must identify resources that are being used inefficiently. The ML engineer also must generate recommendations to reduce the cost of these resources.
Which solution will meet these requirements with the LEAST development effort?

A. Add cost allocation tags to the resources. Activate the tags in AWS Billing and Cost Management.
B. Check AWS CloudTrail event history for the creation of the resources.
C. Run AWS Compute Optimizer.
D. Create code to evaluate each instance's memory and compute usage.

정답：C

질문 # 87
Hotspot Question
An ML engineer must choose the appropriate Amazon SageMaker algorithm to solve specific AI problems.
Select the correct SageMaker built-in algorithm from the following list for each use case. Each algorithm should be selected one time.
- Random Cut Forest (RCF) algorithm
- Semantic segmentation algorithm
- Sequence-to-Sequence (seq2seq) algorithm

정답：

설명：

질문 # 88
A company uses a hybrid cloud environment. A model that is deployed on premises uses data in Amazon 53 to provide customers with a live conversational engine.
The model is using sensitive data. An ML engineer needs to implement a solution to identify and remove the sensitive data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Deploy the model on Amazon SageMaker. Create a set of AWS Lambda functions to identify and remove the sensitive data.
B. Use Amazon Macie to identify the sensitive data. Create a set of AWS Lambda functions to remove the sensitive data.
C. Use Amazon Comprehend to identify the sensitive data. Launch Amazon EC2 instances to remove the sensitive data.
D. Deploy the model on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. Create an AWS Batch job to identify and remove the sensitive data.

정답：B

설명：
Amazon Macie is a fully managed data security and privacy service that uses machine learning to discover and classify sensitive data in Amazon S3. It is purpose-built to identify sensitive data with minimal operational overhead. After identifying the sensitive data, you can use AWS Lambda functions to automate the process of removing or redacting the sensitive data, ensuring efficiency and integration with the hybrid cloud environment. This solution requires the least development effort and aligns with the requirement to handle sensitive data effectively.

질문 # 89
A company needs to run a batch data-processing job on Amazon EC2 instances. The job will run during the weekend and will take 90 minutes to finish running. The processing can handle interruptions. The company will run the job every weekend for the next 6 months.
Which EC2 instance purchasing option will meet these requirements MOST cost-effectively?

A. On-Demand Instances
B. Dedicated Instances
C. Spot Instances
D. Reserved Instances

정답：C

질문 # 90
A company is using an AWS Lambda function to monitor the metrics from an ML model. An ML engineer needs to implement a solution to send an email message when the metrics breach a threshold.
Which solution will meet this requirement?

A. Log the metrics from the Lambda function to Amazon CloudWatch. Configure a CloudWatch alarm to send the email message.
B. Log the metrics from the Lambda function to Amazon CloudFront. Configure an Amazon CloudWatch alarm to send the email message.
C. Log the metrics from the Lambda function to Amazon CloudWatch. Configure an Amazon CloudFront rule to send the email message.
D. Log the metrics from the Lambda function to AWS CloudTrail. Configure a CloudTrail trail to send the email message.

정답：A

질문 # 91
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