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Free AWS Certified Machine Learning - Specialty Exam Braindumps (page: 13)

Page 13 of 84
PDF with 332 Questions

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?

  1. 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.
  2. 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 Image to detect faces from a collection of known employees and alert when non-employees are detected.
  3. 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.
  4. 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.

Answer(s): A


Reference:

As mentioned in below user comment, DeepLens is not offered as a commercial product.
https://aws.amazon.com/deeplens/device-terms-of-use/



A Marketing Manager at a pet insurance company plans to launch a targeted marketing campaign on social media to acquire new customers. Currently, the company has the following data in Amazon Aurora:

•Profiles for all past and existing customers
•Profiles for all past and existing insured pets
•Policy-level information
•Premiums received
•Claims paid

What steps should be taken to implement a machine learning model to identify potential new customers on social media?

  1. Use regression on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
  2. Use clustering on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media
  3. Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media.
  4. Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media.

Answer(s): B



A manufacturing company has a large set of labeled historical sales data. The manufacturer would like to predict how many units of a particular part should be produced each quarter.

Which machine learning approach should be used to solve this problem?

  1. Logistic regression
  2. Random Cut Forest (RCF)
  3. Principal component analysis (PCA)
  4. Linear regression

Answer(s): D



A financial services company is building a robust serverless data lake on Amazon S3. The data lake should be flexible and meet the following requirements:

•Support querying old and new data on Amazon S3 through Amazon Athena and Amazon Redshift Spectrum.
•Support event-driven ETL pipelines
•Provide a quick and easy way to understand metadata

Which approach meets these requirements?

  1. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Glue ETL job, and an AWS Glue Data catalog to search and discover metadata.
  2. Use an AWS Glue crawler to crawl S3 data, an AWS Lambda function to trigger an AWS Batch job, and an external Apache Hive metastore to search and discover metadata.
  3. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Batch job, and an AWS Glue Data Catalog to search and discover metadata.
  4. Use an AWS Glue crawler to crawl S3 data, an Amazon CloudWatch alarm to trigger an AWS Glue ETL job, and an external Apache Hive metastore to search and discover metadata.

Answer(s): A



Page 13 of 84



Post your Comments and Discuss Amazon AWS Certified Machine Learning - Specialty exam with other Community members:

Perumal commented on March 01, 2024
Very useful
Anonymous
upvote

Reddy commented on December 14, 2023
these are pretty useful
Anonymous
upvote

Reddy commented on December 14, 2023
These are pretty useful
Anonymous
upvote

Nik commented on July 16, 2021
These study guides are the same as any other exam dums except you get them here for a very discounted price. Quality and formatting is good plus the Xengine App software is a good simulator tool which comes for free.
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