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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

Question 1

In the context of deployment environments, understanding resources is crucial.
What does this typically involve?

A. Selecting the programming language with the least number of keywords
B. Focusing exclusively on the cost of storage
C. Determining the computational power and memory requirements for the deployed solution
D. Choosing the most aesthetically pleasing user interface

Question 2

The first step in performing exploratory data analysis (EDA) typically involves:

A. Determining the hypothesis for the analysis
B. Connecting to as many data sources as possible
C. Selecting a random sample of data to analyze
D. Choosing a color palette for data visualization

Question 3

What is the key difference between batch processing and streaming in data processing?

A. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
B. Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
C. Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysis
D. Batch processing involves real-time data processing, whereas streaming does not process data

Question 4

Which two graph types are used in EDA to show the relationship between two or more quantitative variables?

A. Stem-and-leaf plot
B. Scatter plot
C. Histogram
D. Heat map
E. Box plot

Question 5

Which analytic technique is NOT typically used to address business requirements?

A. Proofreading
B. Clustering
C. Regression analysis
D. Decision trees

Solutions: