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Free AWS MLS-C01 Exam Questions & Sample Practice Test

 Exam Name AWS Certified Machine Learning - Specialty (Machine Learning Specialty)
Exam NumberMLS-C01
Exam Price$300 USD
Exam Duration180 minutes
Number of Questions65
Passing Score(750 / 1000 Approx.)

Before you embark on your AWS MLS-C01 certification journey, questions about the test format, the types of questions you'll face, their difficulty level, and the time required to complete the exam can be daunting. Fret not, these AWS Certified Machine Learning - Specialty (MLS-C01) sample questions and demo exam can be your guiding light in dispelling these doubts and preparing you to face the challenge head-on.

The surefire route to conquering the AWS MLS-C01 exam lies in the continuous enhancement of your knowledge. To assess your learning and pinpoint areas that require improvement while familiarizing yourself with the actual exam format, we strongly recommend that you practice with our Premium AWS MLS-C01 Certification Practice Exam. This practice test stands as a cornerstone in your preparation strategy for the AWS Certified Machine Learning - Specialty (MLS-C01) exam, aiding you in identifying your strengths and weaknesses, honing your time management skills, and giving you a realistic glimpse of the score you can anticipate achieving.

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Question #1
A Machine Learning Specialist is creating a new natural language processing application that processes a dataset comprised of 1 million sentences. The aim is to then run Word2Vec to generate embeddings of the sentences and enable different types of predictions.
Here is an example from the dataset:
"The quck BROWN FOX jumps over the lazy dog."
Which of the following are the operations the Specialist needs to perform to correctly sanitize and prepare the data in a repeatable manner? (Choose three.)
A. erform part-of-speech tagging and keep the action verb and the nouns only
B. ormalize all words by making the sentence lowercase
C. emove stop words using an English stopword dictionary
D. orrect the typography on "quck" to "quick
E. ne-hot encode all words in the sentence
F. okenize the sentence into words
View answer
Correct Answer: BCF

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Question #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? (Choose two.)
A. WS CloudTrail
B. WS Health
C. WS Trusted Advisor
D. mazon CloudWatch
E. WS Config
View answer
Correct Answer: AD
Question #3
A Data Engineer needs to build a model using a dataset containing customer credit card information. How can the Data Engineer ensure the data remains encrypted and the credit card information is secure?
A. se a custom encryption algorithm to encrypt the data and store the data on an Amazon SageMaker instance in a VPC
B. se an IAM policy to encrypt the data on the Amazon S3 bucket and Amazon Kinesis to automatically discard credit card numbers and insert fake credit card numbers
C. se an Amazon SageMaker launch configuration to encrypt the data once it is copied to the SageMaker instance in a VPC
D. se AWS KMS to encrypt the data on Amazon S3 and Amazon SageMaker, and redact the credit card numbers from the customer data with AWS Glue
View answer
Correct Answer: D
Question #4
A manufacturing company has structured and unstructured data stored in an Amazon S3 bucket. A Machine Learning Specialist wants to use SQL to run queries on this data.
Which solution requires the LEAST effort to be able to query this data?
A. se AWS Data Pipeline to transform the data and Amazon RDS to run queries
B. se AWS Glue to catalogue the data and Amazon Athena to run queries
C. se AWS Batch to run ETL on the data and Amazon Aurora to run the queries
D. se AWS Lambda to transform the data and Amazon Kinesis Data Analytics to run queries
View answer
Correct Answer: B
Question #5
A Machine Learning team uses Amazon SageMaker to train an Apache MXNet handwritten digit classifier model using a research dataset. The team wants to receive a notification when the model is overfitting.
Auditors want to view the Amazon SageMaker log activity report to ensure there are no unauthorized API calls.
What should the Machine Learning team do to address the requirements with the least amount of code and fewest steps?
A. mplement an AWS Lambda function to log Amazon SageMaker API calls to Amazon S3
B. se AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3
C. mplement an AWS Lambda function to log Amazon SageMaker API calls to AWS CloudTrail
D. se AWS CloudTrail to log Amazon SageMaker API calls to Amazon S3
View answer
Correct Answer: B
Question #6
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates.
What is the MOST likely cause of this issue?
A. he class distribution in the dataset is imbalanced
B. ataset shuffling is disabled
C. he batch size is too big
D. he learning rate is very high
View answer
Correct Answer: D
Question #7
A Machine Learning Specialist must build out a process to query a dataset on Amazon S3 using Amazon Athena. The dataset contains more than 800,000 records stored as plaintext CSV files.
Each record contains 200 columns and is approximately 1.5 MB in size. Most queries will span 5 to 10 columns only.
How should the Machine Learning Specialist transform the dataset to minimize query runtime?
A. onvert the records to Apache Parquet format
B. onvert the records to JSON format
C. onvert the records to GZIP CSV format
D. onvert the records to XML format
View answer
Correct Answer: A
Question #8
A Machine Learning Specialist needs to be able to ingest streaming data and store it in Apache Parquet files for exploration and analysis.
Which of the following services would both ingest and store this data in the correct format?
A. WS DMS
B. mazon Kinesis Data Streams
C. mazon Kinesis Data Firehose
D. mazon Kinesis Data Analytics
View answer
Correct Answer: C
Question #9
A Machine Learning Specialist trained a regression model, but the first iteration needs optimizing.The Specialist needs to understand whether the model is more frequently overestimating or underestimating the target.
What option can the Specialist use to determine whether it is overestimating or underestimating the target value?
A. oot Mean Square Error (RMSE)
B. esidual plots
C. rea under the curve
D. onfusion matrix
View answer
Correct Answer: B
Question #10
A Machine Learning Specialist is packaging a custom ResNet model into a Docker container so the company can leverage Amazon SageMaker for training. The Specialist is using Amazon EC2 P3 instances to train the model and needs to properly configure the Docker container to leverage the NVIDIA GPUs.
What does the Specialist need to do?
A. undle the NVIDIA drivers with the Docker image
B. uild the Docker container to be NVIDIA-Docker compatible
C. rganize the Docker container's file structure to execute on GPU instances
D. et the GPU flag in the Amazon SageMaker CreateTrainingJob request body
View answer
Correct Answer: B

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