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Amazon Web Services Updated MLS-C01 Exam Questions and Answers by annabella

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Amazon Web Services MLS-C01 Exam Overview :

Exam Name: AWS Certified Machine Learning - Specialty
Exam Code: MLS-C01 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Specialty
Questions: 322 Q&A's Shared By: annabella
Question 52

A Machine Learning Specialist is configuring automatic model tuning in Amazon SageMaker

When using the hyperparameter optimization feature, which of the following guidelines should be followed to improve optimization?

Choose the maximum number of hyperparameters supported by

Options:

A.

Amazon SageMaker to search the largest number of combinations possible

B.

Specify a very large hyperparameter range to allow Amazon SageMaker to cover every possible value.

C.

Use log-scaled hyperparameters to allow the hyperparameter space to be searched as quickly as possible

D.

Execute only one hyperparameter tuning job at a time and improve tuning through successive rounds of experiments

Discussion
Question 53

A pharmaceutical company performs periodic audits of clinical trial sites to quickly resolve critical findings. The company stores audit documents in text format. Auditors have requested help from a data science team to quickly analyze the documents. The auditors need to discover the 10 main topics within the documents to prioritize and distribute the review work among the auditing team members. Documents that describe adverse events must receive the highest priority.

A data scientist will use statistical modeling to discover abstract topics and to provide a list of the top words for each category to help the auditors assess the relevance of the topic.

Which algorithms are best suited to this scenario? (Choose two.)

Options:

A.

Latent Dirichlet allocation (LDA)

B.

Random Forest classifier

C.

Neural topic modeling (NTM)

D.

Linear support vector machine

E.

Linear regression

Discussion
Question 54

A company operates an amusement park. The company wants to collect, monitor, and store real-time traffic data at several park entrances by using strategically placed cameras. The company's security team must be able to immediately access the data for viewing. Stored data must be indexed and must be accessible to the company's data science team.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Use Amazon Kinesis Video Streams to ingest, index, and store the data. Use the built-in integration with Amazon Rekognition for viewing by the security team.

B.

Use Amazon Kinesis Video Streams to ingest, index, and store the data. Use the built-in HTTP live streaming (HLS) capability for viewing by the security team.

C.

Use Amazon Rekognition Video and the GStreamer plugin to ingest the data for viewing by the security team. Use Amazon Kinesis Data Streams to index and store the data.

D.

Use Amazon Data Firehose to ingest, index, and store the data. Use the built-in HTTP live streaming (HLS) capability for viewing by the security team.

Discussion
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Question 55

An ecommerce company wants to use machine learning (ML) to monitor fraudulent transactions on its website. The company is using Amazon SageMaker to research, train, deploy, and monitor the ML models.

The historical transactions data is in a .csv file that is stored in Amazon S3 The data contains features such as the user's IP address, navigation time, average time on each page, and the number of clicks for ....session. There is no label in the data to indicate if a transaction is anomalous.

Which models should the company use in combination to detect anomalous transactions? (Select TWO.)

Options:

A.

IP Insights

B.

K-nearest neighbors (k-NN)

C.

Linear learner with a logistic function

D.

Random Cut Forest (RCF)

E.

XGBoost

Discussion
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