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Oracle Machine Learning using Autonomous Database 2022 Specialist Sample Questions (Q68-Q73):
NEW QUESTION # 68
You are working as an application developer using Oracle Machine Learning Notebooks and want to get your project and notebooks reviewed by a subject matter expert (SME). You granted the Developer permission to the SME on the workspace.
Which two actions can be performed by the SME?
- A. View, create, run, and update any notebook in the workspace.
- B. Create new workspaces.
- C. View and run jobs of shared notebooks.
- D. Create new projects.
- E. Create jobs for shared notebooks.
Answer: B,D
NEW QUESTION # 69
When managing Machine Learning models using the OML AutoML UI, what are the three actions that can be performed on Oracle Machine Learning (OML) models from within OML AutoML UI?
- A. Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.
- B. Deploy an OML in-database model to a REST endpoint.
- C. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.
- D. Review the model statistics associated with the experiment of an OML in-database model.
- E. Review the model statistics associated with the experiment of an ONNX-format image classification model.
Answer: A,B,D
NEW QUESTION # 70
You are tasked with building a predictive model that can estimate the price of houses, based on attributes like number of rooms, square-footage (size), location, neighborhood attributes, year built among others.
Which three algorithms can you use to produce such a model with Oracle Machine Learning?
- A. Support Vector Machine (Regression)
- B. Explicit Semantic Analysis
- C. Generalized Linear Model (Classification)
- D. Neural Networks (Regression)
- E. One-Class Support Vector Machine
- F. Generalized Linear Model (Regression)
Answer: B,C,E
NEW QUESTION # 71
Which three are unsupervised machine learning algorithms?
- A. Random Forest
- B. Association rule
- C. Logistical Regression
- D. Principal Component Analysis
- E. K-means clustering
- F. Naive Bayes
Answer: B,D,E
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 # 72
A user with Developer permission is trying to create a job on an existing notebook that is shared. However, the user is unable to do so. What is the reason?
- A. The notebook contains code with syntax errors, which need to be corrected first.
- B. The specified job already exists.
- C. The user requires the Create Job role.
- D. A developer cannot create jobs for notebooks that are shared.
Answer: D
NEW QUESTION # 73
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