Data Flow Management

Data Flow Management

Professional Development

46 Qs

quiz-placeholder

Similar activities

Artificial Intelligence for Everyone

Artificial Intelligence for Everyone

Professional Development

34 Qs

AZ-900 - Azure Fundamentals (Module 1)

AZ-900 - Azure Fundamentals (Module 1)

Professional Development

30 Qs

SET Data Science Trivia

SET Data Science Trivia

KG - Professional Development

30 Qs

Full stack Developer

Full stack Developer

Professional Development

30 Qs

ES2_Semi-Final Quiz

ES2_Semi-Final Quiz

Professional Development

30 Qs

Applications of DMS in A.I AND GATE/JNTUH/NPTEL/PLACEMENTS probl

Applications of DMS in A.I AND GATE/JNTUH/NPTEL/PLACEMENTS probl

Professional Development

40 Qs

Cloud Computing - Unit-1 WT-2

Cloud Computing - Unit-1 WT-2

Professional Development

30 Qs

AI900-01

AI900-01

Professional Development

40 Qs

Data Flow Management

Data Flow Management

Assessment

Quiz

Computers

Professional Development

Easy

Created by

Rudy Romero

Used 2+ times

FREE Resource

46 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Interdisciplinary field focused on: Extracting meaningful info from data and Using the scientific method

Data Analysis

Data Science

Data Managing

Data Monitoring

2.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

How many data disciplines are there?

4

5

6

3

Answer explanation

1. Data Visualization

2. Statistics

3. Programming

4. Machine Learning

5. Data Modeling

3.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What Data Science personnel does the following describe: (Wide array of professions); (Leveraging computer science technology); (Handle large pools of data)

Data Scientist

Data Engineer

Data Monitor

Data guy

4.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

What Data Science personnel provides structure for large pools of data?

Data Scientist

Data Engineer

Data Monitor

Data Architect

5.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

Synonymous with "Knowledge Discovery" and is used for uncovering information found within data.

Data discovery

Data digger

Data mining

Data mitigation

6.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

How many steps are used when visualizing data?

4

3

5

8

Answer explanation

1. Query Data

2. Analyze Data

3. Visualize Data

7.

MULTIPLE CHOICE QUESTION

30 sec • 5 pts

(Blank) is the first step in any data science project; pulls from: SQL databases, spreadsheets, CVS files, and IoT architecture.

Querying data

Analyzing data

Visualizing data

Engineering data

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?