Free MLA-C01 Exam Dumps

Question 12

A company has implemented a data ingestion pipeline for sales transactions from its ecommerce website. The company uses Amazon Data Firehose to ingest data into Amazon OpenSearch Service. The buffer interval of the Firehose stream is set for 60 seconds. An OpenSearch linear model generates real-time sales forecasts based on the data and presents the data in an OpenSearch dashboard.
The company needs to optimize the data ingestion pipeline to support sub-second latency for the real-time dashboard.
Which change to the architecture will meet these requirements?

A. Use zero buffering in the Firehose strea
B. Tune the batch size that is used in the PutRecordBatch operation.
C. Replace the Firehose stream with an AWS DataSync tas
D. Configure the task with enhanced fan-out consumers.
E. Increase the buffer interval of the Firehose stream from 60 seconds to 120 seconds.
F. Replace the Firehose stream with an Amazon Simple Queue Service (Amazon SQS) queue.

Correct Answer:A

Question 13

An ML engineer needs to use Amazon SageMaker to fine-tune a large language model (LLM) for text summarization. The ML engineer must follow a low-code no-code (LCNC) approach.
Which solution will meet these requirements?

A. Use SageMaker Studio to fine-tune an LLM that is deployed on Amazon EC2 instances.
B. Use SageMaker Autopilot to fine-tune an LLM that is deployed by a custom API endpoint.
C. Use SageMaker Autopilot to fine-tune an LLM that is deployed on Amazon EC2 instances.
D. Use SageMaker Autopilot to fine-tune an LLM that is deployed by SageMaker JumpStart.

Correct Answer:D

Question 14

A credit card company has a fraud detection model in production on an Amazon SageMaker endpoint. The company develops a new version of the model. The company needs to assess the new model's performance by using live data and without affecting production end users.
Which solution will meet these requirements?

A. Set up SageMaker Debugger and create a custom rule.
B. Set up blue/green deployments with all-at-once traffic shifting.
C. Set up blue/green deployments with canary traffic shifting.
D. Set up shadow testing with a shadow variant of the new model.

Correct Answer:D

Question 15

A company runs an Amazon SageMaker domain in a public subnet of a newly created VPC. The network is configured properly, and ML engineers can access the SageMaker domain.
Recently, the company discovered suspicious traffic to the domain from a specific IP address. The company needs to block traffic from the specific IP address.
Which update to the network configuration will meet this requirement?

A. Create a security group inbound rule to deny traffic from the specific IP addres
B. Assign the security group to the domain.
C. Create a network ACL inbound rule to deny traffic from the specific IP addres
D. Assign the rule to the default network Ad for the subnet where the domain is located.
E. Create a shadow variant for the domai
F. Configure SageMaker Inference Recommender to send traffic from the specific IP address to the shadow endpoint.
G. Create a VPC route table to deny inbound traffic from the specific IP addres
H. Assign the route table to the domain.

Correct Answer:B

Free MLA-C01 Exam Dumps

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