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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions (Q71-Q76):

NEW QUESTION # 71
You have shared your workspace with other users. You want to allow them to run and update the notebooks. However, you do not want to provide the ability to schedule the jobs to run notebooks.
Which permission should be granted to other users?

• A. Manager
• B. Admin
• C. Viewer
• D. Developer

Answer: C
NEW QUESTION # 72
You want to predict which customers are likely to increase spending if given an additional credit card. Your task is to build a model using demographic and aggregated credit card data for customers who have used similar cards in the past.
Which machine learning technique should you use to achieve this?

• A. Feature Extraction
• B. Classification
• C. Regression
• D. Attribute Importance

Answer: D
NEW QUESTION # 73
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)

• A. Autonomous Dedicated Infrastructure
• B. Oracle Application Express
• C. Autonomous Data Warehouse
• D. Autonomous Transaction Processing
• E. Autonomous JSON Database

Answer: C,D,E Explanation:
Explanation
Oracle Machine Learning Notebooks Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Note-books support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. View interactive product tour Oracle Machine Learning Notebooks with Autonomous Data Warehouse documentation Oracle Machine Learning Notebooks with Autonomous Transaction Processing documentation Oracle Machine Learning Notebooks with Autonomous JSON Database documentation
NEW QUESTION # 74
Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?

• A. Public Notebook
• B. Shared Notebook
• C. Example notebook
• D. Personal Notebook

Answer: B
NEW QUESTION # 75
Which three are unsupervised machine learning algorithms?

• A. K-means clustering
• B. Random Forest
• C. Association rule
• D. Naive Bayes
• E. Logistical Regression
• F. Principal Component Analysis

Answer: A,C,F Explanation:
Explanation
Unsupervised machine learning uses a more independent approach, in which a computer learns to identify complex processes and patterns without a human providing close, constant guidance. Unsupervised machine learning involves training based on data that does not have labels or a specific, defined output.To continue the childhood teaching analogy, unsupervised machine learning is akin to a child learning to identify fruit by observing colors and patterns, rather than memorizing the names with a teacher's help. The child would look for similarities between images and separate them into groups, assigning each group its own new label.
Examples of unsupervised machine learning algorithms include k-means clustering, principal and independent component analysis, and association rules.
NEW QUESTION # 76
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