Special Summer Sale Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: get65

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

Page: 21 / 22

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: 307 Q&A's Shared By: azalea
Question 84

A data scientist obtains a tabular dataset that contains 150 correlated features with different ranges to build a regression model. The data scientist needs to achieve more efficient model training by implementing a solution that minimizes impact on the model's performance. The data scientist decides to perform a principal component analysis (PCA) preprocessing step to reduce the number of features to a smaller set of independent features before the data scientist uses the new features in the regression model.

Which preprocessing step will meet these requirements?

Options:

A.

Use the Amazon SageMaker built-in algorithm for PCA on the dataset to transform the data

B.

Load the data into Amazon SageMaker Data Wrangler. Scale the data with a Min Max Scaler transformation step Use the SageMaker built-in algorithm for PCA on the scaled dataset to transform the data.

C.

Reduce the dimensionality of the dataset by removing the features that have the highest correlation Load the data into Amazon SageMaker Data Wrangler Perform a Standard Scaler transformation step to scale the data Use the SageMaker built-in algorithm for PCA on the scaled dataset to transform the data

D.

Reduce the dimensionality of the dataset by removing the features that have the lowest correlation. Load the data into Amazon SageMaker Data Wrangler. Perform a Min Max Scaler transformation step to scale the data. Use the SageMaker built-in algorithm for PCA on the scaled dataset to transform the data.

Discussion
Melody
My experience with Cramkey was great! I was surprised to see that many of the questions in my exam appeared in the Cramkey dumps.
Colby Aug 17, 2024
Yes, In fact, I got a score of above 85%. And I attribute a lot of my success to Cramkey's dumps.
Annabel
I recently used them for my exam and I passed it with excellent score. I am impressed.
Amirah Oct 28, 2024
I passed too. The questions I saw in the actual exam were exactly the same as the ones in the Cramkey Dumps. I was able to answer the questions confidently because I had already seen and studied them.
Sarah
Yeah, I was so relieved when I saw that the question appeared in the exam were similar to their exam dumps. It made the exam a lot easier and I felt confident going into it.
Aaliyah Aug 27, 2024
Same here. I've heard mixed reviews about using exam dumps, but for us, it definitely paid off.
Hendrix
Great website with Great Exam Dumps. Just passed my exam today.
Luka Aug 31, 2024
Absolutely. Cramkey Dumps only provides the latest and most updated exam questions and answers.
Teddie
yes, I passed my exam with wonderful score, Accurate and valid dumps.
Isla-Rose Aug 18, 2024
Absolutely! The questions in the dumps were almost identical to the ones that appeared in the actual exam. I was able to answer almost all of them correctly.
Question 85

A media company is building a computer vision model to analyze images that are on social media. The model consists of CNNs that the company trained by using images that the company stores in Amazon S3. The company used an Amazon SageMaker training job in File mode with a single Amazon EC2 On-Demand Instance.

Every day, the company updates the model by using about 10,000 images that the company has collected in the last 24 hours. The company configures training with only one epoch. The company wants to speed up training and lower costs without the need to make any code changes.

Which solution will meet these requirements?

Options:

A.

Instead of File mode, configure the SageMaker training job to use Pipe mode. Ingest the data from a pipe.

B.

Instead Of File mode, configure the SageMaker training job to use FastFile mode with no Other changes.

C.

Instead Of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Make no Other changes.

D.

Instead Of On-Demand Instances, configure the SageMaker training job to use Spot Instances. Implement model checkpoints.

Discussion
Question 86

A global financial company is using machine learning to automate its loan approval process. The company has a dataset of customer information. The dataset contains some categorical fields, such as customer location by city and housing status. The dataset also includes financial fields in different units, such as account balances in US dollars and monthly interest in US cents.

The company’s data scientists are using a gradient boosting regression model to infer the credit score for each customer. The model has a training accuracy of 99% and a testing accuracy of 75%. The data scientists want to improve the model’s testing accuracy.

Which process will improve the testing accuracy the MOST?

Options:

A.

Use a one-hot encoder for the categorical fields in the dataset. Perform standardization on the financial fields in the dataset. Apply L1 regularization to the data.

B.

Use tokenization of the categorical fields in the dataset. Perform binning on the financial fields in the dataset. Remove the outliers in the data by using the z-score.

C.

Use a label encoder for the categorical fields in the dataset. Perform L1 regularization on the financial fields in the dataset. Apply L2 regularization to the data.

D.

Use a logarithm transformation on the categorical fields in the dataset. Perform binning on the financial fields in the dataset. Use imputation to populate missing values in the dataset.

Discussion
Question 87

A monitoring service generates 1 TB of scale metrics record data every minute A Research team performs queries on this data using Amazon Athena The queries run slowly due to the large volume of data, and the team requires better performance

How should the records be stored in Amazon S3 to improve query performance?

Options:

A.

CSV files

B.

Parquet files

C.

Compressed JSON

D.

RecordIO

Discussion
Page: 21 / 22
Title
Questions
Posted

MLS-C01
PDF

$36.75  $104.99

MLS-C01 Testing Engine

$43.75  $124.99

MLS-C01 PDF + Testing Engine

$57.75  $164.99