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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?

A) Splitting based on the order of data collection
B) Stratified split
C) Random split without considering the target variable
D) Using only the majority class for splitting

2. What is data leakage in the context of model training?

A) When data from outside the training dataset is accidentally included in the training process
B) Leakage of sensitive information due to poor data handling practices
C) A situation where the test data is not available
D) Loss of data during the splitting process

3. Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?

A) Filter
B) Order
C) Condition
D) Key

4. In Cognos Analytics, which two features distinguish stories from dashboards?

A) Stories convey a conclusion.
B) Stories automatically load different filters for different users.
C) Stories are text-based and do not contain visualizations.
D) Stories can be embedded in websites or documents.
E) Stories provide a narrative over time.

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

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

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