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Quiz-Lesson 6

Total questions: 15

Worksheet time: 8mins

Name
Class
Date
1.

Which of these are managed services provided by Azure

a)

Compute instance

b)

Modelling and Deployment

c)

Operationalizing

d)

All of them

2.

Select the disadvantages of using web-based notebooks

a)

Need server to deploy them

b)

They are interactive

c)

Lot of manual effort and time needed to determine correct versions of software to install

d)

There is no any disadvantage

3.

Select broad categories of compute targets

a)

Training compute target

b)

Inference compute target

c)

Azure containers

d)

Azure VMs

4.

We must create an experiment before creating a new run

a)

True

b)

False

5.

Run produces a model

a)

True

b)

False

6.

We cannot host pre-trained models which were created in our local computers on Azure model registry

a)

True

b)

False

7.

What is the term that indicates process automation applied to machine learning pipelines

a)

DevOps

b)

MLOps

8.

Which of these steps are not part of machine learning pipeline

a)

Data ingestion

b)

Documentation of business requirements

c)

Model training

d)

Model deployment

9.

Batch inferencing typically runs on large data as per a schedule

a)

True

b)

False

10.

Method to check the output produced during training in Azure notebook

a)

Wait for completion with show_output = True

b)

Using RunDetails widget

c)

Both

11.

Azure Container Instance is one of the compute targets managed by Azure Machine Learning

a)

True

b)

False

12.

Compute target is designated environment where you run training scripts or host your service deployment

a)

True

b)

False

13.

Compute clusters is managed by Azure Machine Learning

a)

True

b)

False

14.

is run on a recurring schedule against data stored in a database or other data store

(a)  

15.

Azure Machine Learning provides a code-first experience via the Azure Machine Learning SDK for Python

a)

True

b)

False