[2025] Valid C1000-154 test answers & IBM C1000-154 exam pdf
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NEW QUESTION # 47
Cloud Pak for Data's integration with Spark allows users to:
- A. Perform complex computations on small datasets only
- B. Avoid using any form of data processing or analysis
- C. Leverage distributed computing for processing large datasets efficiently
- D. Use Spark exclusively for data visualization purposes
Answer: C
NEW QUESTION # 48
What is a key disadvantage of using Grid Search for hyperparameter tuning?
- A. It requires no prior knowledge of the hyperparameters
- B. It is unable to handle discrete parameters
- C. It can be computationally expensive and time-consuming due to its exhaustive nature
- D. It is too quick and may miss out on evaluating some hyperparameters
Answer: C
NEW QUESTION # 49
What is data leakage in the context of model training?
- A. Loss of data during the splitting process
- B. A situation where the test data is not available
- C. When data from outside the training dataset is accidentally included in the training process
- D. Leakage of sensitive information due to poor data handling practices
Answer: C
NEW QUESTION # 50
A model's performance is not solely dependent on its accuracy but also on:
- A. The choice of programming language
- B. The color of the visualization charts
- C. The number of features selected
- D. Metrics like precision, recall, and F1 score
Answer: D
NEW QUESTION # 51
Automating data processing and model deployment with jobs in Watson Studio helps to:
- A. Limit the ability to update models based on new data
- B. Increase the need for manual intervention in the model lifecycle
- C. Reduce the scalability of deployed solutions
- D. Enhance the reproducibility and efficiency of model deployments
Answer: D
NEW QUESTION # 52
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. Using the highest number of resources for every model
- D. Continuous monitoring and evaluation of model performance
Answer: D
NEW QUESTION # 53
The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?
- A. Regression Operation Characteristic
- B. Recall Operation Curve
- C. Receiver Operating Characteristic
- D. Random Output Curve
Answer: C
NEW QUESTION # 54
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
Answer: C
NEW QUESTION # 55
Which statement best differentiates machine learning from deep learning?
- A. Deep learning algorithms are a subset of machine learning algorithms that do not require feature engineering.
- B. Deep learning algorithms require less data to learn.
- C. Machine learning algorithms perform better on structured data, while deep learning excels with unstructured data like images and text.
- D. Machine learning models are always transparent, whereas deep learning models cannot be interpreted.
Answer: C
NEW QUESTION # 56
Which of the following is a common issue identified during the preprocessing of data?
- A. Aesthetically unpleasing charts
- B. Overly detailed documentation
- C. Presence of missing values
- D. Excessively large file names
Answer: C
NEW QUESTION # 57
When comparing models to choose the best one, which factor is least likely to be considered?
- A. The explainability of the model's predictions
- B. The complexity of the model
- C. The performance of the model on validation data
- D. The color scheme of the model's output visualizations
Answer: D
NEW QUESTION # 58
Which of the following is NOT a direct benefit of connecting to data sources using Cloud Pak for Data?
- A. Facilitating secure and scalable data connectivity
- B. Automatically generating insights without data analysis
- C. Streamlining the integration of diverse data sources
- D. Enhancing collaboration across data science and IT teams
Answer: B
NEW QUESTION # 59
How does the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology begin its process model?
- A. Evaluation
- B. Business Understanding
- C. Model Building
- D. Data Preparation
Answer: B
NEW QUESTION # 60
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. Key
- B. Condition
- C. Filter
- D. Order
Answer: B
NEW QUESTION # 61
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. Measure escalated calls using A/B testing
- B. The F1 score of predicted intents in the Analytics tab
- C. The Area Under the Curve (AUC)
- D. The Root Mean Squared Error (RMSE) of words
Answer: A
NEW QUESTION # 62
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