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Applied Data Analytics FULL EXAM QUESTIONS WITH COTRRECT ANSWERS GRADED A+ FOR 2026 ASSURED EXCEL!!

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Applied Data Analytics FULL EXAM QUESTIONS WITH COTRRECT ANSWERS GRADED A+ FOR 2026 ASSURED EXCEL!!

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Applied Data Analytics FULL EXAM
QUESTIONS WITH COTRRECT
ANSWERS GRADED A+ FOR 2026
ASSURED EXCEL!!
BUSINESS ANALYTICS & BIG DATA – FULL EXAM ARRANGEMENT



1. Business Analyst Role

CORRECT ANSWER:
Primarily the consumer of analytics utilizes analytics to optimize business solutions and provide
better insights and efficiencies.

They work with analytics modelers and architects (specialists).

Rationale:

A Business Analyst is the end-user of analytics outputs. They interpret results, identify business
problems, and use insights to improve organizational performance. They do not usually build
models or infrastructure.

Key Exam Point:

Business Analyst = Consumer of analytics (decision-maker)



2. Analytic Modelers

CORRECT ANSWER:
Analytic specialists who:

• Construct databases

• Develop analytics scripts and models

• Design visualizations and dashboards for analytics consumers

They are producers of analytics.

Rationale:

, Analytic modelers are technical professionals who build the analytical models and data
structures used in business intelligence systems.

Key Exam Point:

Modelers = Build + Analyze + Visualize



3. Analytic Architect

CORRECT ANSWER:
Analytics technology experts who:

• Create infrastructure

• Configure and implement business intelligence applications

• Establish data standards and management procedures for sustainable analytical systems

They are data enablers.

Rationale:

Analytic architects design the overall analytics environment, ensuring systems, tools, and data
standards work together effectively.

Key Exam Point:

Architect = Builds analytics ecosystem



4. Big Data Characteristics

CORRECT ANSWER:

• Volume = tera, peta, zeta scale data

• Variety = structured + unstructured data

• Velocity = data in motion (streaming)

• Veracity = trustworthiness/cleansing of data

Rationale:

Big Data is defined by the “4 Vs,” describing scale, complexity, speed, and reliability of data.

Key Exam Point:

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