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1. Which role is responsible for project initiation and providing the requirements
for a project: Project sponsor
2. Which job position is primarily responsible for designing and constructing
data pipelines within the field of data analytics: Data engineer
3. Which role in a data analytics project helps data scientists shape data for
analysis: Data engineer
4. Which role in a data analytics project provides expertise for analytical tech-
niques: Data scientist
5. Which stakeholder is primarily responsible for ensuring the desired quality of
the project?: Project managers
6. Which group of stakeholders comprises the professionals, such as line man-
agers?: Business users
7. Which stakeholder has access to essential tables or storage systems and
guarantees the highest levels of security in the data respository?: Database adminis-
trator
8. Which skills are required by data scientists for converting unstructured data
to structured data in data analytics projects: Data wrangling skills
9. Which skill must a business intelligence analyst possess to collect and orga-
nize data?: Data preparation
10. Which project-related activity typically takes up the majority of a data ana-
lyst's time?: Data preparation
11. Which software do business intelligence analysts use to perform their re-
sponsibilities?: MS Excel
12. What is a skill required of a data engineer?: Maintaining databases
13. Why is it significant to establish failure criteria for a data analytics project in
the discovery phase?: Helps the team determine when it is best to accept the conclusions
14. Which stakeholder extracts and transforms data during the discovery
phase?: Data engineer
15. A person has been assigned to manage a project to implement a compa-
ny-wide customer relationship management (CRM) system. The CRM system
aims to centralize customer details, automate sales processes, and improve
customer service.
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What skills are crucial for the project team members working on the CRM
system implementation?: Data analysis, system integration, and training
16. Why is formulating an initial hypothesis an integral part of the discovery
phase of the data analytics lifecycle: It guides the subsequent data collection, processing, and
analysis activities.
17. Who should be included as stakeholders in an analytics project?: Anyone who will
benefit from the project
18. Who offers suggestions on ideas to test as the team formulates hypotheses
during the discovery phase of a data analytics project?: Data scientists
19. Which activity occurs during the data preparation phase of the data analytics
lifecycle?: Understanding of data
20. Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation phase?: Line charts
21. Which task is commonly performed to identify and address data quality
issues during the data preparation phase?: Conducting data profiling
22. Which common data cleaning task is used to address the missing data in a
data set?: Imputation
23. Which task is typically performed to handle outliers during the data prepa-
ration phase?: Truncating extreme values
24. A data analyst at a retail company is provided with a large dataset containing
sales transactions, customer info, and product details. The analyst is tasked
with preparing the data for analysis and modeling.
Which activity would the analyst perform during the data preparation phase?-
: Exploring available data to understand its characteristics and suitability
25. How does the communication of results tie to the operationalize phase of
data analytics?: It implements data-driven insights into business functions.
26. Which data visualization tool in the communicate results phase is used to
create web-based visualization?: D3.js
27. Which measure assesses the validity of a correlation between two variables
during the communicate results phase?: P-value
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