C1000-154 試験問題を無料オンラインアクセス

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

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

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

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

In unsupervised learning, which algorithm is best suited for grouping customers based on their purchase history to target marketing efforts more effectively?

• A.Support Vector Machines
• B.K-Means Clustering
• C.Decision Trees
• D.Linear Regression

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 processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
• D.Batch processing involves real-time data processing, whereas streaming does not process data

What is data leakage in the context of model training?

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