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[General] Pdf MLS-C01 Pass Leader | MLS-C01 Practice Mock

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【General】 Pdf MLS-C01 Pass Leader | MLS-C01 Practice Mock

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2026 Latest It-Tests MLS-C01 PDF Dumps and MLS-C01 Exam Engine Free Share: https://drive.google.com/open?id=11XQAopOx_qqKOQyBY77qWJNksb9DVdPE
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The AWS Certified Machine Learning - Specialty certification exam covers a wide range of topics, including data preparation, model training, model deployment, and machine learning algorithms. MLS-C01 exam is designed to test the candidate's knowledge of AWS services and their ability to apply machine learning techniques to real-world problems. MLS-C01 exam consists of multiple-choice and multiple-response questions, and the candidate has 170 minutes to complete it.
The Amazon MLS-C01 exam covers a range of topics related to machine learning on AWS, including data preparation, feature engineering, model selection and validation, machine learning algorithms, and deployment and operationalization of machine learning models. Candidates are also expected to have a good understanding of AWS services such as Amazon SageMaker, Amazon S3, AWS Lambda, and Amazon DynamoDB, and be able to use these services to build and deploy machine learning applications. The MLS-C01 Certification Exam is a valuable credential for professionals who are looking to demonstrate their expertise in machine learning on AWS and advance their careers in this field.
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Amazon AWS Certified Machine Learning - Specialty Sample Questions (Q110-Q115):NEW QUESTION # 110
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. AWS DMS
  • B. Amazon Kinesis Data Streams
  • C. Amazon Kinesis Data Analytics
  • D. Amazon Kinesis Data Firehose
Answer: D

NEW QUESTION # 111
A Machine Learning Specialist wants to bring a custom algorithm to Amazon SageMaker. The Specialist implements the algorithm in a Docker container supported by Amazon SageMaker.
How should the Specialist package the Docker container so that Amazon SageMaker can launch the training correctly?
  • A. Configure the training program as an ENTRYPOINTnamed train
  • B. Modify the bash_profile file in the container and add a bashcommand to start the training program
  • C. Use CMD configin the Dockerfile to add the training program as a CMD of the image
  • D. Copy the training program to directory /opt/ml/train
Answer: C

NEW QUESTION # 112
A Machine Learning Specialist is implementing a full Bayesian network on a dataset that describes public transit in New York City. One of the random variables is discrete, and represents the number of minutes New Yorkers wait for a bus given that the buses cycle every 10 minutes, with a mean of 3 minutes.
Which prior probability distribution should the ML Specialist use for this variable?
  • A. Binomial distribution
  • B. Normal distribution
  • C. Uniform distribution
  • D. Poisson distribution ,
Answer: D
Explanation:
The prior probability distribution for the discrete random variable that represents the number of minutes New Yorkers wait for a bus is a Poisson distribution. A Poisson distribution is suitable for modeling the number of events that occur in a fixed interval of time or space, given a known average rate of occurrence. In this case, the event is waiting for a bus, the interval is 10 minutes, and the average rate is 3 minutes. The Poisson distribution can capture the variability of the waiting time, which can range from 0 to 10 minutes, with different probabilities.
References:
1: Poisson Distribution - Amazon SageMaker
2: Poisson Distribution - Wikipedia

NEW QUESTION # 113
A retail chain has been ingesting purchasing records from its network of 20,000 stores to Amazon S3 using Amazon Kinesis Data Firehose To support training an improved machine learning model, training records will require new but simple transformations, and some attributes will be combined The model needs lo be retrained daily Given the large number of stores and the legacy data ingestion, which change will require the LEAST amount of development effort?
  • A. Deploy an Amazon EMR cluster running Apache Spark with the transformation logic, and have the cluster run each day on the accumulating records in Amazon S3, outputting new/transformed records to Amazon S3
  • B. Require that the stores to switch to capturing their data locally on AWS Storage Gateway for loading into Amazon S3 then use AWS Glue to do the transformation
  • C. Spin up a fleet of Amazon EC2 instances with the transformation logic, have them transform the data records accumulating on Amazon S3, and output the transformed records to Amazon S3.
  • D. Insert an Amazon Kinesis Data Analytics stream downstream of the Kinesis Data Firehouse stream that transforms raw record attributes into simple transformed values using SQL.
Answer: D
Explanation:
Amazon Kinesis Data Analytics is a service that can analyze streaming data in real time using SQL or Apache Flink applications. It can also use machine learning algorithms, such as Random Cut Forest (RCF), to perform anomaly detection on streaming data. By inserting a Kinesis Data Analytics stream downstream of the Kinesis Data Firehose stream, the retail chain can transform the raw record attributes into simple transformed values using SQL queries. This can be done without changing the existing data ingestion process or deploying additional resources. The transformed records can then be outputted to another Kinesis Data Firehose stream that delivers them to Amazon S3 for training the machine learning model. This approach will require the least amount of development effort, as it leverages the existing Kinesis Data Firehose stream and the built-in SQL capabilities of Kinesis Data Analytics.
References:
Amazon Kinesis Data Analytics - Amazon Web Services
Anomaly Detection with Amazon Kinesis Data Analytics - Amazon Web Services Amazon Kinesis Data Firehose - Amazon Web Services Amazon S3 - Amazon Web Services

NEW QUESTION # 114
An online store is predicting future book sales by using a linear regression model that is based on past sales dat a. The data includes duration, a numerical feature that represents the number of days that a book has been listed in the online store. A data scientist performs an exploratory data analysis and discovers that the relationship between book sales and duration is skewed and non-linear.
Which data transformation step should the data scientist take to improve the predictions of the model?
  • A. One-hot encoding
  • B. Quantile binning
  • C. Cartesian product transformation
  • D. Normalization
Answer: B
Explanation:
Quantile binning is a data transformation technique that can be used to handle skewed and non-linear numerical features. It divides the range of a feature into equal-sized bins based on the percentiles of the data. Each bin is assigned a numerical value that represents the midpoint of the bin. This way, the feature values are transformed into a more uniform distribution that can improve the performance of linear models. Quantile binning can also reduce the impact of outliers and noise in the data.
One-hot encoding, Cartesian product transformation, and normalization are not suitable for this scenario. One-hot encoding is used to transform categorical features into binary features. Cartesian product transformation is used to create new features by combining existing features. Normalization is used to scale numerical features to a standard range, but it does not change the shape of the distribution. References:
Data Transformations for Machine Learning
Quantile Binning Transformation

NEW QUESTION # 115
......
It-Tests AWS Certified Machine Learning - Specialty (MLS-C01) self-evaluation tests serve as a call to action, guiding you on how to improve your performance before the Amazon MLS-C01 real exam. It-Tests's AWS Certified Machine Learning - Specialty (MLS-C01) web-based and desktop practice dumps also provide candidates with a realistic MLS-C01 Exam scenario, allowing them to experience the MLS-C01 actual exam situation and prepare accordingly. Our MLS-C01 practice questions offer an excellent opportunity to identify and practice the strategies that work best for you.
MLS-C01 Practice Mock: https://www.it-tests.com/MLS-C01.html
2026 Latest It-Tests MLS-C01 PDF Dumps and MLS-C01 Exam Engine Free Share: https://drive.google.com/open?id=11XQAopOx_qqKOQyBY77qWJNksb9DVdPE
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