Oracle Oracle Autonomous Database 1Z0-1096-22 Questions & Answers

• Question 1:

  Which two are required by an administrator while adding a new user to Oracle Machine Learning (OML) Notebooks?

  A. Autonomous Database (ADB) name

  B. User's name and email ID

  C. Wallet information to connect to ADB

  D. Privileges to be provided

  E. OML username and password

  Correct Answer: BE

• Question 2:

  In which three use cases are Oracle MachineLearning algorithms suitable?

  A. Customer segmentation

  B. Graph analytics

  C. Speech recognition

  D. Medical outcome analysis

  E. Anomaly and fraud detection

  Correct Answer: ABE

• Question 3:

  Which three types of permissions can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks?

  A. Developer

  B. Viewer

  C. Guest

  D. Manager

  E. Administrator

  Correct Answer: ABD

  Explanation: https://docs.oracle.com/en/database/oracle/machine-learning/oml- notebooks/omlug/workspace-permissions.html

• Question 4:

  How can you share a notebook with multiple developers for a collaborative effort with notebook editing?

  A. You can share notebooks if you have Viewer permissions.

  B. Notebooks cannot be shared for collaborating with other users.

  C. You can share notebooks if you have Developer permissions.

  D. You create different notebooks, edit separately, and merge later.

  Correct Answer: D

• Question 5:

  In which format is an Oracle Machine Learning Notebooks notebook saved or exported?

  A. JSON

  B. XML

  C. CSV

  D. custom binary format

  Correct Answer: A

• Question 6:

  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. Review the model statistics associated with the experiment of an ONNX-format image classification model.

  B. Create a notebook with auto-generated OML4Py code from an OML in-database model to allow for further model tweaking and batch scoring.

  C. Review the model statistics associated with the experiment of an OML in-database model.

  D. Deploy an OML in-database model to a REST endpoint.

  E. Review the model statistics associated with the experiment of an ONNX-format (Open Neural Networks Exchange) model.

  Correct Answer: BCE

• Question 7:

  Which three types of forms are available in Oracle Machine Learning Notebooks?

  A. Text Input form

  B. Select form

  C. List form

  D. Check Box form

  E. Radio form

  Correct Answer: ABD

• Question 8:

  You want to analyze the spike in sales during weekends in India (Saturday and Sunday) and also perform a similar analysis for weekends in Dubai (Friday and Saturday). You will be reusing these notebooks in similar situations over time. You do not want to share them with other users.

  Which template should you use?

  A. Shared

  B. Personal

  C. Example

  D. Public

  Correct Answer: B

• Question 9:

  Which two statements are true about supervised machine learning?

  A. There is no previously known result to guide the algorithm in building the model.

  B. It does not specify a target, it can be applied to a population of interest.

  C. It is used to extract meaningful insights from raw data to improve data operational efficiency.

  D. It generally results in predictive models.

  E. The learning process is directed by a previously known dependent attribute or target.

  Correct Answer: DE

  Explanation: Supervised learning is also known as directed learning. The learning process is directed by a previously known dependent attribute or target. Directed data mining attempts to explain the behavior of the target as a function of a set of independent attributes or predictors. Supervised learning generally results in predictive models. This is in contrast to unsupervised learning where the goal is pattern detection. The building of a supervised model involves training, a process whereby the software analyzes many cases where the target value is already known. In the training process, the model "learns" the logic for making the prediction. For example, a model that seeks to identify the customers who are likely to respond to a promotion must be trained by analyzing the characteristics of many customers who are known to have responded or not responded to a promotion in the past. https://docs.oracle.com/cd/E18283_01/datamine.112/e16808.pdf

• Question 10:

  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. Generalized Linear Model (Regression)

  B. Support Vector Machine (Regression)

  C. Explicit Semantic Analysis

  D. One-Class Support Vector Machine

  E. Generalized Linear Model (Classification)

  F. Neural Networks (Regression)

  Correct Answer: ACD