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1. Which role is responsible for project initiation and providing the require-
ments 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
techniques?: Data scientist
5. Which skills are required by data scientists for converting unstructured data
to structured data in data analytics projects?: Data wrangling skills
6. Which skill must a business intelligence analyst possess to collect and
organize data?: Data preparation
7. Which project-related activity typically takes up the majority of a data ana-
lyst's time?: Data preparation
8. Which software do business intelligence analysts use to perform their
responsibilities?: Microsoft Excel
9. What is a skill required of a data engineer?: Maintaining databases
10. delete:
11. Which group of stakeholders comprises the professionals, such as line
managers?: Business users
12. Which stakeholder is primarily responsible for ensuring the desired quality
of the project?: Project managers
13. Which stakeholder has access to essential tables or storage systems and
guarantees the highest levels of security in the data repository?: Database
administrator
14. Why is it significant to establish failure criteria for a data analytics project
in the discovery phase?: It helps the team determine when it is best to accept the
conclusions.
15. Which stakeholder extracts and transforms data during the discovery
phase?: Data engineer
16. 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.
What skills are crucial for the project team members working on the CRM
system implementation?: Data analysis, system integration, and training
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17. 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.
18. Who should be included as stakeholders in an analytics project?: Anyone
who will benefit from the project
19. Who offers suggestions on ideas to test as the team formulates hypothe-
ses during the discovery phase of a data analytics project?: Data scientists
20. Which activity occurs during the data preparation phase of the data ana-
lytics lifecycle?: Understanding of data
21. Which data visualization is most suitable for understanding the trend and
progression of a variable over time in the data preparation phase?: Line charts
22. Which task is commonly performed to identify and address data quality
issues during the data preparation phase?: Conducting data profiling
23. Which common data cleaning task is used to address the missing data in
a data set?: Imputation
24. Which task is typically performed to handle outliers during the data prepa-
ration phase?: Truncating extreme values
25. A data analyst at a retail company is provided with a large dataset contain-
ing sales transactions, customer information, 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
26. Which activity is performed during the model planning phase of a data
analysis project?: Selecting relevant features for modeling
27. Which programming language is primarily used for statistical analysis and
data manipulation in the model planning phase?: R
28. Which classification model is based on the concept of probability and
assigns class labels to instances based on the possibility of belonging to a
particular class?: Naive Bayes
29. Which tool is used to connect users to relational databases and data
warehouse appliances in the model planning phase?: SAS/ACCESS
30. Which regression model is commonly used for predicting a continuous
numerical outcome based on a set of input features?: Linear regression
31. Which phase of the data analytics life cycle involves running analytical
software packages on small datasets to test and refine models?: Model execu-
tion phase
32. Which step is typically performed after executing the model in the model
execution phase?: Result analysis