DATA ANALYST ASSOCIATE (DA-100)
1)
You want to
create a model to predict sales of ice cream based on historic data that includes
daily ice cream sales totals and weather measurements. Which Azure service
should you use?
a)
Azure Machine Learning
b)
Azure Bot
c)
Language
d)
None of the above
2)
You are designing
an AI application that uses images to detect cracks in car windshields and warn
drivers when a windshield should be repaired or replaced. What AI workload is
described?
a)
Computer Vision
b)
Anomaly Detection
c)
Natural Language
Processing
d)
All of the above
3)
A predictive app
provides audio output for visually impaired users. Which principle of
Responsible AI is reflected here?
a)
Transparency
b)
Inclusiveness
c)
Fairness
d)
All of the above
4)
An automobile
dealership wants to use historic car sales data to train a machine learning
model. The model should predict the price of a pre-owned car based on its make,
model, engine size, and mileage. What kind of machine learning model should the
dealership use automated machine learning to create?
a)
Classification
b)
Regression
c)
Time series
forecasting
d)
None of the above
5)
A bank wants to
use historic loan repayment records to categorize loan applications as low-risk
or high-risk based on characteristics like the loan amount, the income of the
borrower, and the loan period. What kind of machine learning model should the
bank use automated machine learning to create?
a)
Classification
b)
Regression
c)
Time series
forecasting
d)
All of the above
6)
You want to use
automated machine learning to train a regression model with the best possible
R2 score. How should you configure the automated machine learning experiment?
a)
Set the Primary metric to R2 score
b)
Block all
algorithms other than GradientBoosting
c)
Enable
featurization
d)
All of the above
7)
In Azure Machine
Learning studio, what can you use to author regression machine learning
pipelines using a drag-and-drop interface?
a)
Notebooks
b)
Automated machine
learning
c)
Designer
d)
All of the above
8)
You are creating
a training pipeline for a regression model. You use a dataset that has multiple
numeric columns in which the values are on different scales. You want to
transform the numeric columns so that the values are all on a similar scale.
You also want the transformation to scale relative to the minimum and maximum
values in each column. Which module should you add to the pipeline?
a)
Select Columns in
a Dataset
b)
Clean Missing
Data
c)
Normalize Data
d)
All of the above
9)
Why do you split
data into training and validation sets?
a)
Data is split
into two sets in order to create two models, one model with the training set
and a different model with the validation set.
b)
Splitting data into two sets enables you to
compare the labels that the model predicts with the actual known labels in the
original dataset.
c)
Only split data
when you use the Azure Machine Learning Designer, not in other machine learning
scenarios.
d)
All of the above
10)
You're using
Azure Machine Learning designer to create a training pipeline for a binary
classification model. You've added a dataset containing features and labels, a
Two-Class Decision Forest module, and a Train Model module. You plan to use
Score Model and Evaluate Model modules to test the trained model with a subset
of the dataset that wasn't used for training. What's another module should you
add?
b)
Split Data
c)
Select Columns in
Dataset
d)
All of the above
11)
You use an Azure
Machine Learning designer pipeline to train and test a binary classification
model. You review the model's performance metrics in an Evaluate Model module,
and note that it has an AUC score of 0.3. What can you conclude about the
model?
a)
The model can
explain 30% of the variance between true and predicted labels.
b)
The model predicts
accurately for 70% of test cases.
c)
The model performs worse than random
guessing.
d)
All of the above
12)
You use Azure
Machine learning designer to create a training pipeline for a classification
model. What must you do before deploying the model as a service?
a)
Create an inference pipeline from the
training pipeline
b)
Add an Evaluate
Model module to the training pipeline
c)
Clone the
training pipeline with a different name
d)
All of the above
13)
You are using an
Azure Machine Learning designer pipeline to train and test a K-Means clustering
model. You want your model to assign items to one of three clusters. Which
configuration property of the K-Means Clustering module should you set to
accomplish this?
a)
Set Number of Centroids to 3
b)
Set Random number
seed to 3
c)
Set Iterations to
3
d)
All of the above
14)
You use Azure
Machine Learning designer to create a training pipeline for a clustering model.
Now you want to use the model in an inference pipeline. Which module should you
use to infer cluster predictions from the model?
a)
Score Model
b)
Assign Data to Clusters
c)
Train Clustering
Model
d)
All of the above
15)
You want to use
the Computer Vision service to analyze images. You also want to use the
Language service to analyze text. You want developers to require only one key
and endpoint to access all of your services. What kind of resource should you
create in your Azure subscription?
a)
Computer Vision
b)
Cognitive Services
d)
None of the above
16)
You want to use
the Computer Vision service to identify the location of individual items in an
image. Which of the following features should you retrieve?
a)
Objects
b)
Tags
c)
Categories
d)
All of the above
17)
You want to use
the Computer Vision service to analyze images of locations and identify
well-known buildings. What should you do?
a)
Retrieve the objects
in the image.
b)
Retrieve the
categories for the image, specifying the celebrities’ domain.
c)
Retrieve the categories for the image,
specifying the landmarks domain.
d)
All of the above
18)
You plan to use
the Custom Vision service to train an image classification model. You want to
create a resource that can only be used for model training, and not for
prediction. Which kind of resource should you create in your Azure
subscription?
a)
Custom Vision
b)
Cognitive
Services
c)
Computer Vision
d)
None of the above
19)
You train an
image classification model that achieves less than satisfactory evaluation
metrics. How might you improve it?
a)
Reduce the size
of the images used to train the model.
b)
Add a new label
for "unknown" classes.
c)
Add more images to the training set.
d)
All of the above
20)
You have
published an image classification model. What information must you provide to
developers who want to use it?
a)
Only the project
ID.
b)
The project ID, the model name, and the key
and endpoint for the prediction resource
c)
The project ID,
iteration number, and the key and endpoint for the training resource.
d)
None of the above
21)
Which of the
following results does an object detection model typically return for an image?
a)
A class label and
probability score for the image
b)
Bounding box
coordinates that indicates the region of the image where all of the objects it
contains are located
c)
A class label, probability, and bounding box
for each object in the image
d)
All of the above
22)
You plan to use a
set of images to train an object detection model, and then publish the model as
a predictive service. You want to use a single Azure resource with the same key
and endpoint for training and prediction. What kind of Azure resource should
you create?
a)
Cognitive Services
b)
Custom Vision
c)
Computer Vision
d)
All of the above
23)
You plan to use
Face to detect human faces in an image. How does the service indicate the
location of the faces it detects?
a)
A pair of
coordinates for each face, indicating the center of the face
b)
Two pairs of
coordinates for each face, indicating the location of the eyes
c)
A set of
coordinates for each face, defining a rectangular bounding box around the face
d)
All of the above
24)
What is one
aspect that may impair facial detection?
a)
Glasses
b)
Extreme angles
c)
Fast shutter
speed
d)
None of the above
25)
You want to
extract text from images and then use the Language service to analyze the text.
You want developers to require only one key and endpoint to access all of your
services. What kind of resource should you create in your Azure subscription?
a)
Computer Vision
b)
Cognitive Services
c)
Language
d)
All of the above
26)
You plan to use
the Computer Vision service's Read API. What results can the Read API provide?
a)
Results arranged in pages, lines, and words
b)
Only the bounding
box coordination
c)
Results arranged
by pages that have photographs first, then pages that exclusively have text.
d)
All of the above
27)
You plan to use
the Form Recognizer pre-built receipt model. Which kind of Azure resource
should you create?
a)
Computer Vision
resource
b)
Form Recognizer or Cognitive Services
resource
c)
Only Form Recognizer
resource
d)
All of the above
28)
You are using the
Form Recognizer service to analyze receipts that you have scanned into JPG
format images. What is the maximum file size of JPG file you can submit to the
pre -built receipt model?
a)
2 MB
b)
50 MB
c)
200 MB
d)
All of the above
29)
You want to use
the Language service to determine the key talking points in a text document.
Which feature of the service should you use?
a)
Sentiment
analysis
b)
Key phrase extraction
c)
Entity detection
d)
All of the above
30)
You use the
Language service to perform sentiment analysis on a document, and a score of
0.99 is returned. What does this score indicate about the document sentiment?
a)
The document is positive.
b)
The document is
neutral.
c)
The document is
negative.
d)
All of the above
31)
When might you
see NaN returned for a score in Language Detection?
a)
When the score
calculated by the service is outside the range of 0 to 1
b)
When the
predominant language in the text is mixed with other languages
c)
When the language is ambiguous
d)
All of the above
32)
You plan to build
an application that uses the Speech service to transcribe audio recordings of
phone calls into text, and then submits the transcribed text to the Language
service to extract key phrases. You want to manage access and billing for the
application services in a single Azure resource. Which type of Azure resource
should you create?
a)
Speech
b)
Language
c)
Cognitive Services
d)
All of the above
33)
You want to use
the Speech service to build an application that reads incoming email message
subjects aloud. Which API should you use?
a)
Speech-to-Text
b)
Text-to-Speech
c)
Translate
d)
All of the above
34)
You are
developing an application that must take English input from a microphone and
generate a real-time text-based transcription in Hindi. Which service should
you use?
a)
Translator
b)
Speech
c)
Language
d)
Spoke
35)
You need to use
the Translator service to translate email messages from Spanish into both
English and French. What is the most efficient way to accomplish this goal?
a)
Make a single call to the service;
specifying a "from" language of "es", a "to"
language of "en", and another "to" language of
"fr".
b)
Make a single
call to the service; specifying a "from" language of "es",
and a "to" language of "en-fr".
c)
Make two calls to
the service; one with a "from" language of "es" and a
"to" language of "en", and another with a "from"
language of "es" and a "to" language of "fr".
d)
All of the above
36)
You need to
provision an Azure resource that will be used to author a new Language
Understanding application. What kind of resource should you create?
b)
Language service
c)
Cognitive
Services
d)
Speak services
37)
You are authoring
a Conversational Language Understanding application to support an international
clock. You want users to be able to ask for the current time in a specified
city, for example "What is the time in London?". What should you do?
a)
Define a "city" entity and a
"GetTime" intent with utterances that indicate the city intent.
b)
Create an intent
for each city, each with an utterance that asks for the time in that city.
c)
Add the utterance
"What time is it in city" to the "None" intent.
d)
None of the above
38)
You have
published your Conversational Language Understanding application. What
information does a client application developer need to get predictions from
it?
a)
The endpoint and key for the application's
prediction resource
b)
The endpoint and
key for the application's authoring resource
c)
The Azure
credentials of the user who published the Language Understanding application
d)
All of the above
39)
Your organization
has an existing frequently asked questions (FAQ) document. You need to create a
knowledge base that includes the questions and answers from the FAQ with the
least possible effort. What should you do?
a)
Create an empty
knowledge base, and then manually copy and paste the FAQ entries into it.
b)
Import the existing FAQ document into a new
knowledge base.
c)
Import a
pre-defined chit-chat data source.
d)
All of the above
40)
You want to
create a knowledge base for bots. What service would you use?
a)
Conversational
Language Understanding
b)
Question Answering
c)
Azure Bot
d)
All of the above
41)
You need to
deliver a support bot for internal use in your organization. Some users want to
be able to submit questions to the bot using Microsoft Teams, others want to
use a web chat interface on an internal web site. What should you do?
a)
Create a knowledge base. Then create a bot
for the knowledge base and connect the Web Chat and Microsoft Teams channels
for your bot
b)
Create a
knowledge base. Then create two bots that use the same knowledge base - one bot
connected to the Microsoft Teams channel, and the other to the Web Chat
channel.
c)
Create two
knowledge bases with the same question and answer pairs. Then create a bot for
each knowledge base; one connected to the Microsoft Teams channel, and the
other to the Web Chat channel
d)
All of the above
42)
What is meant by
seasonal data?
a)
Data based on the
time or year it was recorded.
b)
How far apart the
values are by default for each recorded period.
c)
Data occurring at regular intervals.
d)
All of the above
43)
What is the
purpose of specifying granularity in your JSON data object?
a)
It is used to indicate the recording pattern
of the data.
b)
It tells the
service how to chunk up the results that are returned for review, independent
of the time series data pattern.
c)
It is used to
indicate the range of acceptable values.
d)
All of the above
44)
How does the
Anomaly Detector service evaluate real-time data for anomalies?
a)
It collects all
the values in a window of time and evaluates them all at once.
b)
It evaluates the current value against the
previous value.
c)
It uses interpolation
based on the current value and the previous value to predict what the expected
value should be.
d)
All of the above
45)
Which data format
is accepted by Azure Cognitive Search when you're pushing data to the index?
a)
CSV.
b)
SQL.
c)
JSON.
d)
All of the above
46)
Which explanation
best describes an indexer and an index?
a)
An indexer converts documents into JSON and
forwards them to a search engine for indexing.
b)
An indexer can be
used instead of an index if the files are already in the proper format.
c)
An indexer is only
used for AI enrichment and skillset execution.
d)
All of the above
47)
If you set up a
search index without including a skillset, which would you still be able to
query?
a)
Sentiment.
b)
Text content.
c)
Image captions.
d)
All of the above
48)
Which data role
enables advanced analytics capabilities specifically through reports and
visualizations?
a)
Data scientist
b)
Data engineer
c)
Data analyst
d)
All of the above
49)
Which data
analyst task has a critical performance impact on reporting and data analysis?
a)
Model
b)
Analyze
c)
Visualize
d)
All of the above
50)
Which one of the
following options is the most important key benefit of data analysis?
a)
Decisive
analytics
b)
Informed business decisions
c)
Complex reports
d)
All of the above
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