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Amazon MLS-C01 Dumps
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EXAM  INFORMATION
Exam Code: MLS-C01
Exam Title: AWS Certified Machine Learning - Specialty
Vendor: Amazon
Exam Questions: 308
Guarantee: 100% Passing Guarantee
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SKILLS MEASURED
The Amazon MLS-C01 exam, also known as the AWS Certified 
Machine Learning - Specialty certification, measures the 
following skills:
1. Data Engineering: Collection, storage, and preparation of 
data for machine learning tasks.
2. Exploratory Data Analysis (EDA): Understanding, 
summarizing, and visualizing data.
3. Modeling: Selecting, training, and deploying machine 
learning models.
4. Sustainability: Monitoring and maintaining machine 
learning models over time.
5. Optimization: Improving model performance and reducing 
costs.
6. Ethics and Privacy: Understanding ethical considerations 
and privacy regulations in machine learning.
AmOvazeorna lMl, LtSh-eC 0M1 LDSu-mC0p1s  exam tests your knowledge and 
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Amazon MLS-C01 Exam Questions
1) A machine learning team has several large CSV datasets in Amazon S3. 
Historically, models built with the Amazon SageMaker Linear Learner 
algorithm have taken hours to train on similar-sized datasets. The team’s 
leaders need to accelerate the training process.
What can a machine learning specialist do to address this concern?
A) Use Amazon SageMaker Pipe mode.
B) Use Amazon Machine Learning to train the models.
C) Use Amazon Kinesis to stream the data to Amazon SageMaker.
D) Use AWS Glue to transform the CSV dataset to the JSON format.
ANSWER: A
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2) A term frequency–inverse document frequency (tf–idf) matrix using both 
unigrams and bigrams is built from a text corpus consisting of the following 
two sentences:
1. Please call the number below.
2. Please do not call us.
What are the dimensions of the tf–idf matrix?
A) (2, 16)
B) (2, 8)
C) (2, 10)
D) (8, 10)
ANSWER: A
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3) A company is setting up a system to manage all of the datasets it stores in 
Amazon S3. The company would like to automate running transformation jobs 
on the data and maintaining a catalog of the metadata concerning the 
datasets. The solution should require the least amount of setup and 
maintenance.
Which solution will allow the company to achieve its goals?
A) Create an Amazon EMR cluster with Apache Hive installed. Then, 
create a Hive metastore and a script to
run transformation jobs on a schedule.
B) Create an AWS Glue crawler to populate the AWS Glue Data 
Catalog. Then, author an AWS Glue ETL
job, and set up a schedule for data transformation jobs.
C) Create an Amazon EMR cluster with Apache Spark installed. Then, 
create an Apache Hive metastore
and a script to run transformation jobs on a schedule.
D) Create an AWS Data Pipeline that transforms the data. Then, 
create an Apache Hive metastore and a
AsNcrSipWtE tRo:  rBun transformation jobs on a schedule.
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4) A data scientist is working on optimizing a model during the training 
process by varying multiple parameters. The data scientist observes that, 
during multiple runs with identical parameters, the loss function converges 
to different, yet stable, values.
What should the data scientist do to improve the training process?
A) Increase the learning rate. Keep the batch size the same.
B) Reduce the batch size. Decrease the learning rate.
C) Keep the batch size the same. Decrease the learning rate.
D) Do not change the learning rate. Increase the batch size.
ANSWER: B
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5) A data scientist uses logistic regression to build a fraud detection 
model. While the model accuracy is 99%, 90% of the fraud cases are not 
detected by the model.
What action will definitively help the model detect more than 10% of fraud 
cases?
A) Using undersampling to balance the dataset
B) Decreasing the class probability threshold
C) Using regularization to reduce overfitting
D) Using oversampling to balance the dataset
ANSWER: B
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