Ultimate Guide to Prepare 1Z0-1096-21 Certification Exam for Oracle Autonomous Database in 2022
Use Real 1Z0-1096-21 Dumps - Oracle Correct Answers updated on 2022
Oracle 1Z0-1096-21 Exam Syllabus Topics:
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NEW QUESTION 18
Which two statements are true about supervised machine learning?
- A. It generally results in predictive models.
- B. It is used to extract meaningful insights from raw data to improve data operational efficiency.
- C. The learning process is directed by a previously known dependent attribute or target.
- D. It does not specify a target, it can be applied to a population of interest.
- E. There is no previously known result to guide the algorithm in building the model.
Answer: A,C
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
NEW QUESTION 19
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. Attribute Importance
- B. Feature Extraction
- C. Regression
- D. Classification
Answer: A
NEW QUESTION 20
Which four statements are true about Oracle Machine Learning on Oracle Autonomous Database?
- A. It provides an interface to monitor a database.
- B. It enables data analytics, data discovery, and data visualizations.
- C. It provides a development environment to build models and score data.
- D. It provides a collaborative web-based notebook interface.
- E. It is deployed with Oracle Data Miner.
- F. It includes parallelized in-database algorithms.
Answer: B,C,D,F
NEW QUESTION 21
Which three types of templates are available in Oracle Machine Learning Notebooks?
- A. Public templates
- B. Shared templates
- C. Example templates
- D. Personal templates
- E. Custom templates
Answer: B,C,D
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/use-library-collaborate-users.html#GUID-F468F691-2B8B-4427-B517-5F149AA57239
NEW QUESTION 22
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:
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 23
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. Create new projects.
- B. Create new workspaces.
- C. View, create, run, and update any notebook in the workspace.
- D. Create jobs for shared notebooks.
- E. View and run jobs of shared notebooks.
Answer: A,B
NEW QUESTION 24
What is the correct sequence of function invocations of AutoML API from OML4Py to solve a business problem?
- A. Model selection, Algorithm selection
- B. Model selection, Algorithm selection
- C. Algorithm selection, Feature selection. Model tuning
- D. Model tuning. Algorithm selection. Feature selection
Answer: C
NEW QUESTION 25
Which three are supervised machine learning algorithms?
- A. Random Forest
- B. K-means clustering
- C. Association rule
- D. Linear Regression
- E. Support Vector Machines
Answer: A,D,E
NEW QUESTION 26
Which two components support in-database automatic machine learning (AutoML) functionality?
- A. OML Services a
- B. Oracle Data Miner
- C. OML4Py
- D. OML4SQL
- E. OML4R
- F. OML AutoML UI
Answer: C,F
NEW QUESTION 27
Which three actions can be performed by an Administrator in Oracle Machine Learning (OML) Notebooks?
- A. Create, run and delete notebooks.
- B. Reassign workspaces to users.
- C. View notebooks.
- D. Create, edit and delete OML users.
- E. Create and run jobs.
Answer: C,D,E
NEW QUESTION 28
You have created a workspace in Oracle Machine Learning Notebooks and want to share it with collaborators by granting permissions to access your workspace. You want to enable other users to run and modify your notebooks but do not want to provide the ability to schedule jobs that run your notebooks.
Which permission type should be granted to this user?
- A. Developer
- B. Manager
- C. Editor
- D. Viewer
Answer: A
NEW QUESTION 29
Which two statements are true about Classification algorithms?
- A. They require known outcomes to guide the learning process.
- B. They predict numeric values along a continuum.
- C. They extract rules using unsupervised learning.
- D. They assign cases to target categories.
Answer: A,B
NEW QUESTION 30
Which two Oracle Cloud services are Integrated with Oracle Machine Learning?
- A. Oracle Analytics Cloud
- B. Oracle Stream Analytics
- C. Oracle Autonomous Database
- D. Oracle GoldenGate
Answer: B,C
NEW QUESTION 31
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. Viewer
- B. Manager
- C. Admin
- D. Developer
Answer: A
NEW QUESTION 32
Which three types of permissions can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks?
- A. Manager
- B. Guest
- C. Administrator
- D. Developer
- E. Viewer
Answer: A,D,E
Explanation:
https://docs.oracle.com/en/database/oracle/machine-learning/oml-notebooks/omlug/workspace-permissions.html
NEW QUESTION 33
Which notebook technology is used for Oracle Machine Learning in Oracle Autonomous Database?
- A. Polynote
- B. Zeppelin Notebook
- C. Jupyter Notebook
- D. Google Colab
Answer: B
NEW QUESTION 34
You have created an Oracle Machine Learning notebook and want to share it with another collaborator. However, you do not want to provide the ability to run or modify the notebook in your workspace.
Which three options can be used to do this?
- A. Share the notebook as a Shared Oracle Machine Learning Template.
- B. Export the notebook and import it into the other user's project.
- C. Provide the user Viewer permission to your workspace.
- D. Provide the user Developer permission to your workspace.
Answer: A,C,D
NEW QUESTION 35
Examine the output:
- A. SET SQLFORMAT ANSICONSOLE
- B. SET SQLFORMAT DELIMITED
- C. SET SQLFORMAT LOADER
- D. SET SQLFORMAT FIXED
Answer: C
NEW QUESTION 36
Which four actions would typically be performed during the data preparation step for analyzing data with Oracle Machine Learning?
- A. data collection from various sources
- B. binning of numeric data
- C. numeric data normalization
- D. performing feature engineering, such as creating derived variables
- E. missing value replacement
- F. building a machine learning model
Answer: A,C,D,E
NEW QUESTION 37
Which three statements are true about Oracle Machine Learning Notebooks?
- A. It is used to manage and monitor database objects.
- B. It provides a web-based interface for data analysis.
- C. It is used to create low-code applications.
- D. It is used for data preparation and exploration.
- E. It is used to access machine learning algorithms.
Answer: B,D,E
NEW QUESTION 38
You have created a notebook and want to run the notebook on a periodic schedule. How should you achieve this?
- A. You have to login as the admin user and schedule a job to run the notebook.
- B. You need to contact the database administrator to configure the notebook to run at a particular time.
- C. You cannot run the notebook on the scheduled time.
- D. You can create a job and schedule it to run a specific notebook.
Answer: D
NEW QUESTION 39
Which three SQL commands are restricted in an Autonomous Database?
- A. Alter Profile
- B. Create Tablespace
- C. Create Table
- D. Alter Tablespace
- E. Alter Table
Answer: A,B,D
NEW QUESTION 40
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