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Google Cloud Big Data and Machine Learning Fundamentals

Authored by Supratim Bhattacharya

Instructional Technology

Professional Development

Used 1+ times

Google Cloud Big Data and Machine Learning Fundamentals
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8 questions

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1.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

What is/are the common Bigdata challenges?

Volume

Variety

Velocity

Veracity

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the Google cloud services is used for Data Analysis

Cloud Storage

Bigquery

Cloud Spanner

Pub/Sub

3.

OPEN ENDED QUESTION

3 mins • 1 pt

Which Google cloud tool is used to visualize data

Evaluate responses using AI:

OFF

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Select the correct workflow for streaming data

Visualize , process then ingest the streaming data


Ingest the streaming data, visualize the data, and then process the data.

Ingest the streaming data, process the data, and visualize the results


Process the data, visualize the data, and ingest the data.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt


Which BigQuery feature leverages geography data types and standard SQL geography functions to analyze a data set?

Building business intelligence dashboards

Ad hoc analysis

Geospatial analysis

Building machine learning models

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You want to use machine learning to predict house price with a time series data?

Unsupervised learning, dimensionality reduction


Unsupervised learning, cluster analysis

Supervised learning, linear regression

Supervised learning, logistic regression

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A farm uses Google’s machine learning technology to detect defective apples in their crop, such as those that are irregular in size or have scratches. The goal is to identify only the apples that are actually bad so that no good apples are wasted. Which metric should the model focus on?

Feature importance


Recall


Precision


Confusion matrix

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