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

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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: 281 Q&A's Shared By: denny
Question 72

A machine learning (ML) specialist must develop a classification model for a financial services company. A domain expert provides the dataset, which is tabular with 10,000 rows and 1,020 features. During exploratory data analysis, the specialist finds no missing values and a small percentage of duplicate rows. There are correlation scores of > 0.9 for 200 feature pairs. The mean value of each feature is similar to its 50th percentile.

Which feature engineering strategy should the ML specialist use with Amazon SageMaker?

Options:

A.

Apply dimensionality reduction by using the principal component analysis (PCA) algorithm.

B.

Drop the features with low correlation scores by using a Jupyter notebook.

C.

Apply anomaly detection by using the Random Cut Forest (RCF) algorithm.

D.

Concatenate the features with high correlation scores by using a Jupyter notebook.

Discussion
Question 73

Amazon Connect has recently been tolled out across a company as a contact call center The solution has been configured to store voice call recordings on Amazon S3

The content of the voice calls are being analyzed for the incidents being discussed by the call operators Amazon Transcribe is being used to convert the audio to text, and the output is stored on Amazon S3

Which approach will provide the information required for further analysis?

Options:

A.

Use Amazon Comprehend with the transcribed files to build the key topics

B.

Use Amazon Translate with the transcribed files to train and build a model for the key topics

C.

Use the AWS Deep Learning AMI with Gluon Semantic Segmentation on the transcribed files to train and build a model for the key topics

D.

Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the transcribed files to generate a word embeddings dictionary for the key topics

Discussion
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Question 74

An e-commerce company needs a customized training model to classify images of its shirts and pants products The company needs a proof of concept in 2 to 3 days with good accuracy Which compute choice should the Machine Learning Specialist select to train and achieve good accuracy on the model quickly?

Options:

A.

m5 4xlarge (general purpose)

B.

r5.2xlarge (memory optimized)

C.

p3.2xlarge (GPU accelerated computing)

D.

p3 8xlarge (GPU accelerated computing)

Discussion
Question 75

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?

Options:

A.

Use regression on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.

B.

Use clustering on customer profile data to understand key characteristics of consumer segments Find similar profiles on social media.

C.

Use a recommendation engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media

D.

Use a decision tree classifier engine on customer profile data to understand key characteristics of consumer segments. Find similar profiles on social media

Discussion
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