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Level 1: Model (Intro) Assessment

Level 1: Model (Intro) Assessment

This short assessment will test your knowledge on the training content related to the Model module. We suggest you complete the Model: Intro lessons before attempting this assessment. You can retake this assessment as many times as you like. The passing score is 80%.

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Question 1 of 10

1. Question

Which of the following are functionalities of Model?

Data Preparation
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Injecting machine learning scripts and algorithm in the data flow process
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Creating custom hierarchies
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All of the above
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Question 2 of 10

2. Question

What is the fastest way to upload and model data?

Smart Model
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Rapid Model
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Direct Model
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Model Lite
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Question 3 of 10

3. Question

True or False? Direct query gives the option to copy data directly from the data source.

True
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False
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Question 4 of 10

4. Question

Model definition contains:

All the instructions on how to import, prepare and transform data form your data sources.
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The schema definition
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All of the above
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Question 5 of 10

5. Question

The data model includes instructions for:

Relationships and column selections
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Configuration, relationships and hierarchies
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Relationships, aggregations and security
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Configuration, relationships, column selections and hierarchies
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Question 6 of 10

6. Question

True or False? Deleting the model definition also deletes the materialized database.

True
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False
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Question 7 of 10

7. Question

True or False? Incremental data load is used to identify new or modified data in the data source since the last time the data loading process was executed.

True
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False
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Question 8 of 10

8. Question

True or False? An incremental data load only adds new data from the source to the target as opposed to a full load, where the entire data set is loaded into the target.

True
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False
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Question 9 of 10

9. Question

Which of the following is NOT a capability of Model’s data preparation?

Multiple data sources
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Multiple target databases
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Time intelligence
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Machine learning
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Question 10 of 10

10. Question

Fill in the blank: End users can use _________ to build advanced pipeline and flow logic, multiple data flows, multiple data models, and interactions with various other tools like APIs, command line and messaging.

BLANK 1 of 1
Fill in the blank 1 of 1

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