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Oracle 1Z0-1110-26 Exam Syllabus Topics:

Oracle Cloud Infrastructure Data Science Professional Sample Questions:

1. You have received machine learning model training code, without clear information about the optimal shape to run the training on. How would you proceed to identify the optimal compute shape for your model training that provides a balanced cost and processing time?

A) Start with a small shape and monitor the utilization metrics and time required to complete the model training. If the compute shape is fully utilized, change to compute that has more resources and rerun the job. Repeat the process until the processing time does not improve.
B) Start with a smaller shape and monitor the job run metrics and time required to complete the model training. If the compute shape is not fully utilized, tune the model parameters, and rerun the job. Repeat the process until the shape resources are fully utilized.
C) Start with the strongest compute shape Jobs support and monitor the job run metrics and time required to complete the model training. Tune the model so that it utilizes as much compute resources as possible, even at an increased cost.
D) Start with a random compute shape and monitor the utilization metrics and time required to finish the model training. Perform model training optimization and performance tests in advance to identify the right compute shape before running the model training as a job.

2. You are a data scientist leveraging the Oracle Cloud Infrastructure (OCI) Language AI service for various types of text analyses. Which TWO capabilities can you utilize with this tool?

A) Table extraction
B) Punctuation correction
C) Topic classification
D) Sentiment analysis
E) Sentence diagramming

3. What is feature engineering in machine learning used for?

A) To perform parameter tuning
B) To transform existing features into new ones
C) To help understand the dataset features
D) To interpret ML models

4. Which stage in the machine learning life cycle helps in identifying the imbalance present in the data?

A) Data Access
B) Data Modeling
C) Data Monitoring
D) Data Exploration

5. A bike sharing platform has collected user commute data for the past 3 years. For increasing profitability and making useful inferences, a machine learning model needs to be built from the accumulated data. Which of the following options has the correct order of the required machine learning tasks for building a model?

A) Data Access, Feature Exploration, Data Exploration, Feature Engineering, Modeling
B) Data Access, Feature Exploration, Feature Engineering, Data Exploration, Modeling
C) Data Access, Data Exploration, Feature Exploration, Feature Engineering, Modeling
D) Data Access, Data Exploration, Feature Engineering, Feature Exploration, Modeling

Solutions: