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

Page: 1 / 24

AWS Certified Specialty AWS Certified Machine Learning - Specialty

AWS Certified Machine Learning - Specialty

Last Update Apr 25, 2025
Total Questions : 322

To help you prepare for the MLS-C01 Amazon Web Services exam, we are offering free MLS-C01 Amazon Web Services exam questions. All you need to do is sign up, provide your details, and prepare with the free MLS-C01 practice questions. Once you have done that, you will have access to the entire pool of AWS Certified Machine Learning - Specialty MLS-C01 test questions which will help you better prepare for the exam. Additionally, you can also find a range of AWS Certified Machine Learning - Specialty resources online to help you better understand the topics covered on the exam, such as AWS Certified Machine Learning - Specialty MLS-C01 video tutorials, blogs, study guides, and more. Additionally, you can also practice with realistic Amazon Web Services MLS-C01 exam simulations and get feedback on your progress. Finally, you can also share your progress with friends and family and get encouragement and support from them.

Questions 2

A Machine Learning Specialist is configuring Amazon SageMaker so multiple Data Scientists can access notebooks, train models, and deploy endpoints. To ensure the best operational performance, the Specialist needs to be able to track how often the Scientists are deploying models, GPU and CPU utilization on the deployed SageMaker endpoints, and all errors that are generated when an endpoint is invoked.

Which services are integrated with Amazon SageMaker to track this information? (Select TWO.)

Options:

A.  

AWS CloudTrail

B.  

AWS Health

C.  

AWS Trusted Advisor

D.  

Amazon CloudWatch

E.  

AWS Config

Discussion 0
Questions 3

A credit card company wants to build a credit scoring model to help predict whether a new credit card applicant

will default on a credit card payment. The company has collected data from a large number of sources with

thousands of raw attributes. Early experiments to train a classification model revealed that many attributes are

highly correlated, the large number of features slows down the training speed significantly, and that there are

some overfitting issues.

The Data Scientist on this project would like to speed up the model training time without losing a lot of

information from the original dataset.

Which feature engineering technique should the Data Scientist use to meet the objectives?

Options:

A.  

Run self-correlation on all features and remove highly correlated features

B.  

Normalize all numerical values to be between 0 and 1

C.  

Use an autoencoder or principal component analysis (PCA) to replace original features with new features

D.  

Cluster raw data using k-means and use sample data from each cluster to build a new dataset

Discussion 0
Ace
No problem! I highly recommend Cramkey Dumps to anyone looking to pass their certification exams. They will help you feel confident and prepared on exam day. Good luck!
Harris Oct 31, 2024
That sounds amazing. I'll definitely check them out. Thanks for the recommendation!
Rae
I tried using Cramkey dumps for my recent certification exam and I found them to be more accurate and up-to-date compared to other dumps I've seen. Passed the exam with wonderful score.
Rayyan Sep 14, 2024
I see your point. Thanks for sharing your thoughts. I might give it a try for my next certification exam.
Kylo
What makes Cramkey Dumps so reliable? Please guide.
Sami Aug 29, 2024
Well, for starters, they have a team of experts who are constantly updating their material to reflect the latest changes in the industry. Plus, they have a huge database of questions and answers, which makes it easy to study and prepare for the exam.
Cody
I used Cramkey Dumps to prepare and a lot of the questions on the exam were exactly what I found in their study materials.
Eric Sep 13, 2024
Really? That's great to hear! I used Cramkey Dumps too and I had the same experience. The questions were almost identical.
Questions 4

An ecommerce company wants to train a large image classification model with 10.000 classes. The company runs multiple model training iterations and needs to minimize operational overhead and cost. The company also needs to avoid loss of work and model retraining.

Which solution will meet these requirements?

Options:

A.  

Create the training jobs as AWS Batch jobs that use Amazon EC2 Spot Instances in a managed compute environment.

B.  

Use Amazon EC2 Spot Instances to run the training jobs. Use a Spot Instance interruption notice to save a snapshot of the model to Amazon S3 before an instance is terminated.

C.  

Use AWS Lambda to run the training jobs. Save model weights to Amazon S3.

D.  

Use managed spot training in Amazon SageMaker. Launch the training jobs with checkpointing enabled.

Discussion 0
Questions 5

A data scientist receives a new dataset in .csv format and stores the dataset in Amazon S3. The data scientist will use this dataset to train a machine learning (ML) model.

The data scientist first needs to identify any potential data quality issues in the dataset. The data scientist must identify values that are missing or values that are not valid. The data scientist must also identify the number of outliers in the dataset.

Which solution will meet these requirements with the LEAST operational effort?)

Options:

A.  

Create an AWS Glue job to transform the data from .csv format to Apache Parquet format. Use an AWS Glue crawler and Amazon Athena with appropriate SQL queries to retrieve the required information.

B.  

Leave the dataset in .csv format. Use an AWS Glue crawler and Amazon Athena with appropriate SQL queries to retrieve the required information.

C.  

Create an AWS Glue job to transform the data from .csv format to Apache Parquet format. Import the data into Amazon SageMaker Data Wrangler. Use the Data Quality and Insights Report to retrieve the required information.

D.  

Leave the dataset in .csv format. Import the data into Amazon SageMaker Data Wrangler. Use the Data Quality and Insights Report to retrieve the required information.

Discussion 0
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