[2026] IBM Foundations of IBM Big Data & Analytics Architecture V1

문제1

Deploying Big Data & Analytics solutions on a cloud platform requires several architectural decisions in
order to achieve optimal design. Which statement is true?

A. Analytic components generally run faster on physical hardware versus virtualized.

B. Big data solutions should always try to scale out (horizontal) instead of scale up (vertical) especially
considering z/OS-based solutions.

C. Off premise cloud implementation is superior to on premise for data privacy for a big data solution.

D. Requirements for read-heavy versus write-heavy requirements impact technology choices, but
in-memory databases improve performance and scale.

정답: D

문제2

Which t\so statements are true about predictive analytics prerequisites?

A. Predictive analytics require input data to be in aggregate form.

B. Acceptance is required from a business users' community of a predictive analytics initiative and
management sponsorship.

C. Data must be sufficient to train a predictive model for the business goal.

D. Raw data for predictive analytics needs to be stored in Hadoop first

E. Data for predictive analytics needs to be in third normal form (3NFY

정답: C

문제3

This individual is responsible for defining, developing, and implementing the strategy and methods by
which the organization acquires, manages, analyzes, and governs data. Which role does this define
Within Big Data and Analytics?

A. Chief Data Officer

B. Analytic Consumer

C. Data Scientist

D. Business Analyst

정답: C

문제4

Which option best supports the capability of a real time business decision engine to optimize transactional
decisions?

A. IBM Analytical Decision Management

B. IBM InfoSphere Streams

C. IBM Business Process Management

D. IBM Operational Decision Management

정답: B

문제5

A construction supply company has a lot of machine data ranging from sensors to GPS readings. They
want to integrate and analyze this data to help them optimize their resource allocation and gain real time
maintenance decision support while ensuring customer satisfaction. Which use case examples should the
Solution Advisor review to guide them on their Big Data & Analytics adoption planning?

A. Enhanced 360 View of the Customer

B. Operational Analysis

C. Data Warehouse Modernization

D. Big Data Exploration

정답: C

문제6

What are the stages to the IBM Big Data & Analytics Maturity Model?

A. Ad Hoc, Foundational, Competitive, Differentiating. Breakaway

B. Descriptive Analytics, Diagnostic Analytics, Predictive Analytics, Prescriptive Analytics

C. Novice, Builder. Leader, Master

D. Initial, Repeatable, Defined, Managed, Optimizing

정답: A

IBM Foundations of IBM Big Data & Analytics Architecture V1 - C2090-136무료 덤프문제 풀어보기

우리와 연락하기

유용한 링크

최신 업데이트