ML Implementation and Operations — Free Practice Questions

Q: 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.

Correct answer: 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.. AWS Glue is the correct answer because this option requires the least amount of setup and maintenance since it is serverless, and it does not require management of the infrastructure. Refer to this link for supporting information. A, C, and D are all solutions that can solve the problem, but require more steps for configuration, and require higher operational overhead to run and maintain.

Q: True or False. If you have mission critical data that must be processed with as minimal delay as possible, you should use the Kinesis API (AWS SDK) over the Kinesis Producer Library.

Correct answer: True. The KPL can incur an additional processing delay of up to RecordMaxBufferedTime within the library (user-configurable). Larger values of RecordMaxBufferedTime results in higher packing efficiencies and better performance. Applications that cannot tolerate this additional delay may need to use the AWS SDK directly.

Q: What are your options for storing data into S3?

Correct answer: The AWS console; AWS SDK; AWS CLI. You can use the AWS console, the AWS command line interface (cli), or the AWS SDK. You can use the AWS console, the AWS command line interface (cli), or the AWS SDK. You can use the AWS console, the AWS command line interface (cli), or the AWS SDK.

Q: You have been tasked with using Polly to translate text to speech in the company announcements that launch weekly. The problem you are encountering is how Polly is incorrectly translating the companies acronyms. What can be done for future tasks to help prevent this?

Correct answer: Use SSML tags in documents; Create dictionary lexicon. Using SSML-enhanced input text gives you additional control over how Amazon Polly generates speech from the text you provide. Using these tags allows you to substitute a different word (or pronunciation) for selected text such as an acronym or abbreviation. You can also create a dictionary lexicon to apply to any future tasks instead of apply SSML to each individual document. Using SSML-enhanced input text gives you additional control over how Amazon Polly generates speech from the text you provide. Using these tags allows you to substitute a different word (or pronunciation) for selected text such as an acronym or abbreviation. You can also create a dictionary lexicon to apply to any future tasks instead of apply SSML to each individual document.

Q: Creating an S3 VPC Endpoint in your VPC will have which of the following impacts?

Correct answer: Reduce egress costs.; Improve security.. Using a VPC Endpoint will redirect the S3 traffic through the AWS private network rather than egressing to the public internet. Both of these attributes will reduce egress costs and increase security. Using a VPC Endpoint will redirect the S3 traffic through the AWS private network rather than egressing to the public internet. Both of these attributes will reduce egress costs and increase security.

Q: You need to have deep learning expertise to create image metadata and recognize faces using Amazon Rekognition?

Correct answer: False. Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos.

Q: Amazon SageMaker can be used in following stages of machine learning pipeline? Select all that apply.

Correct answer: Model evaluation; Feature engineering; Model training. Except Problem Formulation we can do all of the above on Amazon SageMaker. Except Problem Formulation we can do all of the above on Amazon SageMaker. Except Problem Formulation we can do all of the above on Amazon SageMaker.

Q: What does Amazon SageMaker provide to help developers build their machine learning models and pipeline? Select all that apply.

Correct answer: Amazon SageMaker provides notebook instances with preinstalled frameworks of to help developers during development; Amazon SageMaker provides developers the ability to deploy their models to an endpoint; Amazon SageMaker provides training instances for the creation and training of machine learning models; Amazon SageMaker provides AutoML for developers to create models using on click. All the answers are correct. AWS SageMaker support AutoML via Autopilot. Amazon SageMaker Autopilot is a feature-set that automates key tasks of an automatic machine learning (AutoML) process. It explores your data, selects the algorithms relevant to your problem type, and prepares the data to facilitate model training and tuning. All the answers are correct. AWS SageMaker support AutoML via Autopilot. Amazon SageMaker Autopilot is a feature-set that automates key tasks of an automatic machine learning (AutoML) process. It explores your data, selects the algorithms relevant to your problem type, and prepares the data to facilitate model training and tuning. All the answers are correct. AWS SageMaker support AutoML via Autopilot. Amazon SageMaker Autopilot is a feature-set that au

Question 1

1. 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?

✓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.
AWS Glue is the correct answer because this option requires the least amount of setup and maintenance since it is serverless, and it does not require management of the infrastructure. Refer to this link for supporting information. A, C, and D are all solutions that can solve the problem, but require more steps for configuration, and require higher operational overhead to run and maintain.
✗Create an Amazon EMR cluster with Apache Hive installed. Then, create a Hive metastore and a script to run transformation jobs on a schedule.
✗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.
✗Create an AWS Data Pipeline that transforms the data. Then, create an Apache Hive metastore and a script to run transformation jobs on a schedule.

Question 2

2. True or False. If you have mission critical data that must be processed with as minimal delay as possible, you should use the Kinesis API (AWS SDK) over the Kinesis Producer Library.

✓True
The KPL can incur an additional processing delay of up to RecordMaxBufferedTime within the library (user-configurable). Larger values of RecordMaxBufferedTime results in higher packing efficiencies and better performance. Applications that cannot tolerate this additional delay may need to use the AWS SDK directly.
✗False

Question 3

3. What are your options for storing data into S3?

✗UNLOAD command
✗UPLOAD command
✓The AWS console
You can use the AWS console, the AWS command line interface (cli), or the AWS SDK.
✓AWS SDK
✓AWS CLI

Question 4

4. You have been tasked with using Polly to translate text to speech in the company announcements that launch weekly. The problem you are encountering is how Polly is incorrectly translating the companies acronyms. What can be done for future tasks to help prevent this?

✓Use SSML tags in documents
Using SSML-enhanced input text gives you additional control over how Amazon Polly generates speech from the text you provide. Using these tags allows you to substitute a different word (or pronunciation) for selected text such as an acronym or abbreviation. You can also create a dictionary lexicon to apply to any future tasks instead of apply SSML to each individual document.
✗Use Amazon Transcribe to first map the acronyms to pronunciations then include them in the Amazon polly pipeline
✓Create dictionary lexicon
✗Use speech marks for input text documents

Question 5

5. Creating an S3 VPC Endpoint in your VPC will have which of the following impacts?

✗Reduce security.
✓Reduce egress costs.
Using a VPC Endpoint will redirect the S3 traffic through the AWS private network rather than egressing to the public internet. Both of these attributes will reduce egress costs and increase security.
✗Increase egress costs.
✗Increase latency.
✓Improve security.

Question 6

6. You need to have deep learning expertise to create image metadata and recognize faces using Amazon Rekognition?

✗True
✓False
Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos.

Question 7

7. Amazon SageMaker can be used in following stages of machine learning pipeline? Select all that apply.

✓Model evaluation
Except Problem Formulation we can do all of the above on Amazon SageMaker.
✓Feature engineering
✓Model training
✗Problem formulation

Question 8

8. What does Amazon SageMaker provide to help developers build their machine learning models and pipeline? Select all that apply.

✓Amazon SageMaker provides notebook instances with preinstalled frameworks of to help developers during development
All the answers are correct. AWS SageMaker support AutoML via Autopilot. Amazon SageMaker Autopilot is a feature-set that automates key tasks of an automatic machine learning (AutoML) process. It explores your data, selects the algorithms relevant to your problem type, and prepares the data to facilitate model training and tuning.
✓Amazon SageMaker provides developers the ability to deploy their models to an endpoint
✓Amazon SageMaker provides training instances for the creation and training of machine learning models
✓Amazon SageMaker provides AutoML for developers to create models using on click

ML Implementation and Operations — Free Practice Questions

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