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2020 MLS-C01 Real Exam Questions - 2020 MLS-C01 Dumps PDF

With the introduction of the MLS-C01 Dumps, it was considered a very difficult exam because of its extensive course outline. But now it is not so difficult if you prepare yourself from the MLS-C01 exam dumps pdf. It is the most reliable material available for preparation. You can simply ace your exam with the help of this study material.Realexamcollection has achieved a high status among students as an exam study material provider. It gives you an idea of the actual configuration of the<br> exam.

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2020 MLS-C01 Real Exam Questions - 2020 MLS-C01 Dumps PDF

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  1. RealExamCollection AMAZON MLS-C01 Dumps PDF https://www.realexamcollection.com/amazon/mls-c01-dumps.html

  2. Question: 1 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.AWSDMS B.Amazon Kinesis Data Streams C.Amazon Kinesis Data Firehose D.Amazon Kinesis Data Analytics Answer: C MLS-C01Dumps MLS-C01 Question Answers

  3. Question: 2 A retail company intends to use machine learning to categorize new products A labeled dataset of current products was provided to the Data Science team The dataset includes 1 200 products The labeled dataset has 15 features for each product such as title dimensions, weight, and price Each product is labeled as belonging to one of six categories such as books, games, electronics, and movies. Which model should be used for categorizing new products using the provided dataset for training? A.AnXGBoost model where the objective parameter is set to multi: softmax B.A deep convolutional neural network (CNN) with a softmax activation function for the last layer C.A regression forest where the number of trees is set equal to the number of product categories D.A DeepAR forecasting model based on a recurrent neural network (RNN) Answer: B MLS-C01 Dumps MLS-C01 Question Answers

  4. Question: 3 A manufacturing company asks its Machine Learning Specialist to develop a model that classifies defective parts into one of eight defect types. The company has provided roughly 100000 images per defect type for training During the injial training of the image classification model the Specialist notices that the validation accuracy is 80%, while the training accuracy is 90% It is known that human-level performance for this type of image classification is around 90% What should the Specialist consider to fix this issue1? A.A longer training time B.Making the network larger C.Using a different optimizer D.Using some form of regularization Answer: D MLS-C01 Dumps MLS-C01 Question Answers

  5. Question: 4 A company is setting up an Amazon SageMaker environment. The corporate data security policy does not allow communication over the internet.How can the company enable the Amazon SageMaker service without enabling direct internet access to Amazon SageMaker notebook instances? A.Create a NAT gateway within the corporate VPC. B.Route Amazon SageMaker traffic through an on-premises network. C.Create Amazon SageMaker VPC interface endpoints within the corporate VPC. D.Create VPC peering with Amazon VPC hosting Amazon SageMaker. Answer: A MLS-C01 Dumps MLS-C01 Question Answers

  6. Question: 5 A monitoring service generates 1 TB of scale metrics record data every minute A Research team performs queries on this data using Amazon Athena The queries run slowly due to the large volume of data, and the team requires better performance How should the records be stored in Amazon S3 to improve query performance? A.CSV files B.Parquet files C.Compressed JSON D.RecordIO Answer: B MLS-C01 Dumps MLS-C01 Question Answers

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