IBM C1000-154 IBM Watson Data Scientist v1 Online Training
IBM C1000-154 Online Training
The questions for C1000-154 were last updated at Feb 20,2025.
- Exam Code: C1000-154
- Exam Name: IBM Watson Data Scientist v1
- Certification Provider: IBM
- Latest update: Feb 20,2025
When anticipating additional data sources that might be relevant, what is a crucial factor to consider?
- A . The color scheme of the data visualization
- B . The data source’s popularity on social media
- C . The relevance of the data source to the business problem
- D . The graphical interface of the data source
A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?
- A . The Area Under the Curve (AUC)
- B . Measure escalated calls using A/B testing
- C . The Root Mean Squared Error (RMSE) of words
- D . The F1 score of predicted intents in the Analytics tab
Which of the following is a critical first step in understanding a business problem for data science projects?
- A . Selecting the machine learning algorithm
- B . Defining the project scope
- C . Choosing the visualization tools
- D . Deploying the model
How can data splits be made reproducible in a machine learning experiment?
- A . By using a different random seed each time the data is split
- B . By partitioning the data manually
- C . By using a consistent random seed when splitting the data
- D . By splitting the data in a sequential manner without randomization
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
Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?
- A . Social media feeds
- B . Proprietary in-memory databases
- C . Paper-based records
- D . Cloud storage services
When selecting a small number of algorithms based on model requirements, what factor should you primarily consider?
- A . The popularity of the algorithm in recent academic papers.
- B . Compatibility of the algorithm with the data characteristics and the predictive task.
- C . The algorithm that requires the least amount of data preprocessing.
- D . Choosing algorithms that are only based on supervised learning.
The first step in performing exploratory data analysis (EDA) typically involves:
- A . Choosing a color palette for data visualization
- B . Determining the hypothesis for the analysis
- C . Connecting to as many data sources as possible
- D . Selecting a random sample of data to analyze
In the context of deployment environments, understanding resources is crucial.
What does this typically involve?
- A . Choosing the most aesthetically pleasing user interface
- B . Determining the computational power and memory requirements for the deployed solution
- C . Selecting the programming language with the least number of keywords
- D . Focusing exclusively on the cost of storage
Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?
- A . TensorFlow
- B . PyTorch
- C . Pandas
- D . Keras
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