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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Ensuring that all models are developed without any external libraries
B) Deploying models that are incompatible with the deployment environment
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Increasing the complexity and maintenance cost of the deployed solution

2. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) Pandas
B) PyTorch
C) TensorFlow
D) Keras

3. When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?

A) Limiting access to the model to a few select users
B) Deployment without any security measures
C) Continuous monitoring and evaluation of model performance
D) Using the highest number of resources for every model

4. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) Pandas
B) PyTorch
C) TensorFlow
D) Keras

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

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

Solutions: