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AWS Certified Machine Learning - Specialty
AMAZON
https://www.exam4help.com/amazon/mls-c01-dumps.html
MLS-C01 Dumps PDF
Exam Overview
Exam TIME170 minutes to complete the exam
Exam cost300 USD
Exam LanguageAvailable in English, Japanese, Korean, and Simplified Chinese
Exam FormatMultiple choice, multiple answer
MLS-C01 DumpsMLS-C01 Dumps PDF
Here We Show You FreeDemo Questions
MLS-C01 DumpsMLS-C01 Dumps PDF
Question: 1A Machine Learning Specialist is designing a system for improving sales for a company. The objectiveis to use the large amount of information the company has on users’ behavior and productpreferences to predict which products users would like based on the users’ similarity to other users.What should the Specialist do to meet this objective?
A. Build a content-based filtering recommendation engine with Apache Spark ML on Amazon EMRB. Build a collaborative filtering recommendation engine with Apache Spark ML on Amazon EMR.C. Build a model-based filtering recommendation engine with Apache Spark ML on Amazon EMRD. Build a combinative filtering recommendation engine with Apache Spark ML on Amazon EMR
Answer: B MLS-C01 DumpsMLS-C01 Dumps PDF
Question: 2A Mobile Network Operator is building an analytics platform to analyze and optimize a company'soperations using Amazon Athena and Amazon S3.The source systems send data in .CSV format in real time. The Data Engineering team wants totransform the data to the Apache Parquet format before storing it on Amazon S3.Which solution takes the LEAST effort to implement?
A. Ingest .CSV data using Apache Kafka Streams on Amazon EC2 instances and use Kafka Connect S3to serialize data as Parquet.B. Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Glue to convert data intoParquet.C. Ingest .CSV data using Apache Spark Structured Streaming in an Amazon EMR cluster and useApache Spark to convert data into Parquet.D. Ingest .CSV data from Amazon Kinesis Data Streams and use Amazon Kinesis Data Firehose toconvert data into Parquet.
Answer: C MLS-C01 DumpsMLS-C01 Dumps PDF
Question: 3A city wants to monitor its air quality to address the consequences of air pollution. A MachineLearning Specialist needs to forecast the air quality in parts per million of contaminates for the next 2days in the city. As this is a prototype, only daily data from the last year is available.Which model is MOST likely to provide the best results in Amazon SageMaker?
A. Use the Amazon SageMaker k-Nearest-Neighbors (kNN) algorithm on the single time seriesconsisting of the full year of data with a predictor_type of regressor.B. Use Amazon SageMaker Random Cut Forest (RCF) on the single time series consisting of the fullyear of data.C. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of thefull year of data with a predictor_type of regressor.D. Use the Amazon SageMaker Linear Learner algorithm on the single time series consisting of thefull year of data with a predictor_type of classifier.
Answer: C
MLS-C01 DumpsMLS-C01 Dumps PDF
Question: 4A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnetof a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebookinstance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However, the MLSpecialist cannot find the Amazon SageMaker notebook instance’s EBS volume or Amazon EC2instance within the VPC.Why is the ML Specialist not seeing the instance visible in the VPC?
A. Amazon SageMaker notebook instances are based on the EC2 instances within the customeraccount, but they run outside of VPCs.B. Amazon SageMaker notebook instances are based on the Amazon ECS service within customeraccounts.C. Amazon SageMaker notebook instances are based on EC2 instances running within AWS serviceaccounts.D. Amazon SageMaker notebook instances are based on AWS ECS instances running within AWSservice accounts.
Answer: C
MLS-C01 DumpsMLS-C01 Dumps PDF
Question: 5
A Machine Learning Specialist is using an Amazon SageMaker notebook instance in a private subnet of a corporate VPC. The ML Specialist has important data stored on the Amazon SageMaker notebook instance's Amazon EBS volume, and needs to take a snapshot of that EBS volume. However, the MLSpecialist cannot find the Amazon SageMaker notebook instance’s EBS volume or Amazon EC2 instance within the VPC.Why is the ML Specialist not seeing the instance visible in the VPC?
A. Amazon SageMaker notebook instances are based on the EC2 instances within the customeraccount, but they run outside of VPCs.B. Amazon SageMaker notebook instances are based on the Amazon ECS service within customeraccounts.C. Amazon SageMaker notebook instances are based on EC2 instances running within AWS serviceaccounts.D. Amazon SageMaker notebook instances are based on AWS ECS instances running within AWSservice accounts.
Answer: C MLS-C01 DumpsMLS-C01 Dumps PDF
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