Online Access Free Amazon.AWS-Certified-Machine-Learning-Specialty.v2022-11-29.q177 Practice Test (Page 13)

AWS-Certified-Machine-Learning-Specialty Exam Question 56

A Machine Learning Specialist is building a model that will perform time series forecasting using Amazon SageMaker. The Specialist has finished training the model and is now planning to perform load testing on the endpoint so they can configure Auto Scaling for the model variant.
Which approach will allow the Specialist to review the latency, memory utilization, and CPU utilization during the load test?

A.Review SageMaker logs that have been written to Amazon S3 by leveraging Amazon Athena and Amazon QuickSight to visualize logs as they are being produced.

B.Generate an Amazon CloudWatch dashboard to create a single view for the latency, memory utilization, and CPU utilization metrics that are outputted by Amazon SageMaker.

C.Build custom Amazon CloudWatch Logs and then leverage Amazon ES and Kibana to query and visualize the log data as it is generated by Amazon SageMaker.

D.Send Amazon CloudWatch Logs that were generated by Amazon SageMaker to Amazon ES and use Kibana to query and visualize the log data

AWS-Certified-Machine-Learning-Specialty Exam Question 57

An e commerce company wants to launch a new cloud-based product recommendation feature for its web application. Due to data localization regulations, any sensitive data must not leave its on-premises data center, and the product recommendation model must be trained and tested using nonsensitive data only. Data transfer to the cloud must use IPsec. The web application is hosted on premises with a PostgreSQL database that contains all the dat a. The company wants the data to be uploaded securely to Amazon S3 each day for model retraining.
How should a machine learning specialist meet these requirements?

A.Create an AWS Glue job to connect to the PostgreSQL DB instance. Ingest all data through an AWS Site- to-Site VPN connection into Amazon S3 while removing sensitive data using a PySpark job.

B.Create an AWS Glue job to connect to the PostgreSQL DB instance. Ingest tables without sensitive data through an AWS Site-to-Site VPN connection directly into Amazon S3.

C.Use PostgreSQL logical replication to replicate all data to PostgreSQL in Amazon EC2 through AWS Direct Connect with a VPN connection. Use AWS Glue to move data from Amazon EC2 to Amazon S3.

D.Use AWS Database Migration Service (AWS DMS) with table mapping to select PostgreSQL tables with no sensitive data through an SSL connection. Replicate data directly into Amazon S3.

AWS-Certified-Machine-Learning-Specialty Exam Question 58

An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.
Which solution should the agency consider?

A.Install AWS DeepLens cameras and use the DeepLens_Kinesis_video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when non-employees are detected.

B.Install AWS DeepLens cameras and use the DeepLens_Kinesis_video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.

C.Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video strearw On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.

D.Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected

AWS-Certified-Machine-Learning-Specialty Exam Question 59

A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing.
The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?

A.Root Mean Square Error (RMSE)

B.Residual plots

C.Area under the curve

D.Confusion matrix

AWS-Certified-Machine-Learning-Specialty Exam Question 60

An interactive online dictionary wants to add a widget that displays words used in similar contexts. A Machine Learning Specialist is asked to provide word features for the downstream nearest neighbor model powering the widget.
What should the Specialist do to meet these requirements?

A.Create one-hot word encoding vectors.

B.Produce a set of synonyms for every word using Amazon Mechanical Turk.

C.Create word embedding vectors that store edit distance with every other word.

D.Download word embeddings pre-trained on a large corpus.

Other Version: 1671Amazon.AWS-Certified-Machine-Learning-Specialty.v2025-02-06.q184; 2088Amazon.AWS-Certified-Machine-Learning-Specialty.v2024-02-17.q264; 64Amazon.Vceengine.AWS-Certified-Machine-Learning-Specialty.v2022-03-05.by.kelly.115q.pdf; 3680Amazon.AWS-Certified-Machine-Learning-Specialty.v2022-01-17.q115; 2949Amazon.AWS-Certified-Machine-Learning-Specialty.v2022-01-01.q86; 46Amazon.Actualvce.AWS-Certified-Machine-Learning-Specialty.v2021-08-11.by.adonis.87q.pdf

Latest Upload: 227Amazon.SAA-C03.v2026-07-25.q425; 129SAP.C_S4PM.v2026-07-25.q43; 223Google.Professional-Data-Engineer.v2026-07-25.q215; 220Microsoft.AZ-104.v2026-07-25.q227; 187Amazon.DOP-C02.v2026-07-25.q201; 154EMC.NCP-AII.v2026-07-25.q60; 152CheckPoint.156-561.v2026-07-25.q83; 229Amazon.AIF-C01.v2026-07-24.q158; 163WGU.Applied-Algebra.v2026-07-24.q46; 159Oracle.1Z0-948.v2026-07-24.q60

AWS-Certified-Machine-Learning-Specialty Exam Question 56

AWS-Certified-Machine-Learning-Specialty Exam Question 57

AWS-Certified-Machine-Learning-Specialty Exam Question 58

AWS-Certified-Machine-Learning-Specialty Exam Question 59

AWS-Certified-Machine-Learning-Specialty Exam Question 60

Download PDF File