CompTIA
Checkpoint
ISC
HP
Dell
EC-Council
EXIN
Fortinet
ITIL®
Juniper
PMI
Microsoft
VMware
Avaya
Google
Salesforce
Amazon
Palo Alto Networks
Certiport
ISC2
All Vendors
  2. Home
  3. Exams
  4. Amazon
  5. MLS-C01

Free MLS-C01 Exam Braindumps (page: 12)

Page 12 of 84
PDF with 332 Questions

A Data Scientist needs to create a serverless ingestion and analytics solution for high-velocity, real-time streaming data.

The ingestion process must buffer and convert incoming records from JSON to a query-optimized, columnar format without data loss. The output datastore must be highly available, and Analysts must be able to run SQL queries against the data and connect to existing business intelligence dashboards.

Which solution should the Data Scientist build to satisfy the requirements?

  1. Create a schema in the AWS Glue Data Catalog of the incoming data format. Use an Amazon Kinesis Data Firehose delivery stream to stream the data and transform the data to Apache Parquet or ORC format using the AWS Glue Data Catalog before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.
  2. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and writes the data to a processed data location in Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena, and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.
  3. Write each JSON record to a staging location in Amazon S3. Use the S3 Put event to trigger an AWS Lambda function that transforms the data into Apache Parquet or ORC format and inserts it into an Amazon RDS PostgreSQL database. Have the Analysts query and run dashboards from the RDS database.
  4. Use Amazon Kinesis Data Analytics to ingest the streaming data and perform real-time SQL queries to convert the records to Apache Parquet before delivering to Amazon S3. Have the Analysts query the data directly from Amazon S3 using Amazon Athena and connect to BI tools using the Athena Java Database Connectivity (JDBC) connector.

Answer(s): A



An online reseller has a large, multi-column dataset with one column missing 30% of its data. A Machine Learning Specialist believes that certain columns in the dataset could be used to reconstruct the missing data.

Which reconstruction approach should the Specialist use to preserve the integrity of the dataset?

  1. Listwise deletion
  2. Last observation carried forward
  3. Multiple imputation
  4. Mean substitution

Answer(s): C


Reference:

https://worldwidescience.org/topicpages/i/imputing+missing+values.html



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?

  1. Create a NAT gateway within the corporate VPC.
  2. Route Amazon SageMaker traffic through an on-premises network.
  3. Create Amazon SageMaker VPC interface endpoints within the corporate VP
  4. Create VPC peering with Amazon VPC hosting Amazon SageMaker.

Answer(s): C


Reference:

https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-dg.pdf (516)
https://docs.aws.amazon.com/zh_tw/vpc/latest/userguide/vpc-endpoints.html



A Machine Learning Specialist is training a model to identify the make and model of vehicles in images. The Specialist wants to use transfer learning and an existing model trained on images of general objects. The Specialist collated a large custom dataset of pictures containing different vehicle makes and models.

What should the Specialist do to initialize the model to re-train it with the custom data?

  1. Initialize the model with random weights in all layers including the last fully connected layer.
  2. Initialize the model with pre-trained weights in all layers and replace the last fully connected layer.
  3. Initialize the model with random weights in all layers and replace the last fully connected layer.
  4. Initialize the model with pre-trained weights in all layers including the last fully connected layer.

Answer(s): B



Page 12 of 84



Post your Comments and Discuss Amazon MLS-C01 exam with other Community members:

Richard commented on October 24, 2023
i am thrilled to say that i passed my amazon web services mls-c01 exam, thanks to study materials. they were comprehensive and well-structured, making my preparation efficient.
Anonymous
upvote

Richard commented on October 24, 2023
I am thrilled to say that I passed my Amazon Web Services MLS-C01 exam, thanks to study materials. They were comprehensive and well-structured, making my preparation efficient.
Anonymous
upvote

Ken commented on October 13, 2021
I would like to share my good news with you about successfully passing my exam. This study package is very relevant and helpful.
AUSTRALIA
upvote

Alex commented on April 19, 2021
A very great in amount of questions are from real exam. Almost same wording. :)
SOUTH KOREA
upvote

MD ABU S CHOWDHURY commented on January 18, 2020
Working on the test..
UNITED STATES
upvote