Oracle 1z0-1096-22 Real Exam Questions and Answers FREE [Q34-Q53]

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Oracle 1z0-1096-22 Real Exam Questions and Answers FREE

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QUESTION 34
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?

Admin

Manager

Viewer

Developer

QUESTION 35
Which three are unsupervised machine learning algorithms?

K-means clustering

Principal Component Analysis

Association rule

Naive Bayes

Logistical Regression

Random Forest

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.

QUESTION 36
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?

Create new projects.

Create jobs for shared notebooks.

View, create, run, and update any notebook in the workspace.

Create new workspaces.

View and run jobs of shared notebooks.

QUESTION 37
What is the proper workflow for analyzing data in Oracle Machine Learning?

Evaluate the model, prepare the data, build the model, and deploy the model.

Get predictions from the model, prepare the data, build the model, and deploy the model

Prepare the data, build the model, evaluate the model, and deploy the model.

Build the model, prepare the data, evaluate the model, and deploy the model.

QUESTION 38
Which three Oracle Machine Learning (OML) Notebooks capabilities are enabled when an OML user is created with the oml_developer role?

Save scripts to the Python script repository.

Create and execute OML Notebooks.

Share notebooks with other OML users.

Transfer OML workspace to other users.

QUESTION 39
Which two Oracle Cloud services are Integrated with Oracle Machine Learning?

Oracle Stream Analytics

Oracle Analytics Cloud

Oracle Autonomous Database

Oracle GoldenGate

QUESTION 40
Which option would you use to load data from Object Storage into an Oracle Autonomous Database?

SQL*Loader

DBMS_Cloud package

Oracle SQL Developer Web

Expdp

Explanation
About Data Loading: Autonomous Database provides the following loading options: You can load data using Oracle Database Actions. You can load data using Oracle Database tools and Oracle or other 3rd party data integration tools. On transaction processing systems you traditionally ingest data through routine transactions or with DML operations. In general you load data from files local to your client computer or from files stored in a cloud-based object store. To load data from files in the cloud, use either Oracle Database Actions or use the Autonomous Database PL/SQL package DBMS_CLOUD to load files from the cloud. For the fastest data loading experience Oracle recommends uploading the source files to a cloud-based object store, such as Oracle Cloud Infrastructure Object Storage, before loading the data into your database. Oracle provides support for loading files that are located locally in your data center, but when using this method of data loading you should factor in the transmission speeds across the Internet which may be significantly slower. For more information on Oracle Cloud Infrastructure Object Storage, see Putting Data into Object Storage and Overview of Object Storage. Note: If you are not using ADMIN user, ensure the user has the necessary privileges for the operations the user needs to perform. See Manage User Privileges on Autonomous Database – Connecting with a Client Tool for more information.

QUESTION 41
You have developed a notebook in an Autonomous Database (ADB) and you need to share the notebook with your colleague to run on a different ADB instance.
How should you enable your colleague to work with this notebook?

Save the notebook in .csv format and have your colleague import this notebook.

Save the notebook as a shared template.

Make the notebook public.

Export the notebook in . json format and have your colleague import this notebook.

QUESTION 42
Which option would you use to load data from Object Storage into an Oracle Autonomous Da-tabase?

SQL*Loader

DBMS_Cloud package

Oracle SQL Developer Web

Expdp

About Data Loading: Autonomous Database provides the following loading options: You can load data using Oracle Database Actions. You can load data using Oracle Database tools and Oracle or other 3rd party data integration tools. On transaction processing systems you traditionally ingest data through routine transactions or with DML operations. In general you load data from files local to your client computer or from files stored in a cloud-based object store. To load data from files in the cloud, use either Oracle Database Actions or use the Autonomous Database PL/SQL package DBMS_CLOUD to load files from the cloud. For the fastest data loading experience Oracle rec-ommends uploading the source files to a cloud-based object store, such as Oracle Cloud Infrastruc-ture Object Storage, before loading the data into your database. Oracle provides support for loading files that are located locally in your data center, but when using this method of data loading you should factor in the transmission speeds across the Internet which may be significantly slower. For more information on Oracle Cloud Infrastructure Object Storage, see Putting Data into Object Stor-age and Overview of Object Storage.
Note: If you are not using ADMIN user, ensure the user has the necessary privileges for the operations the user needs to perform. See Manage User Privileges on Autonomous Database – Connecting with a Client Tool for more information.

QUESTION 43
Which three types of permissions can be granted to a user to collaborate and access a workspace in Oracle Machine Learning Notebooks?

Developer

Viewer

Guest

Manager

Administrator

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

QUESTION 44
Which three services can be used to access Oracle Machine Learning Notebooks? (Choose three.)

Oracle Application Express

Autonomous Dedicated Infrastructure

Autonomous Data Warehouse

Autonomous JSON Database

Autonomous Transaction Processing

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 Ma-chine Learning Notebooks with Autonomous JSON Database documentation.

QUESTION 45
A supermarket needs to segment its customers based on their purchasing pattern. Which machine learning technique should you use to achieve this?

Clustering

Regression

Association Rules

Anomaly Detection

QUESTION 46
Which three are supervised machine learning algorithms?

Random Forest

Support Vector Machines

Linear Regression

Association rule

K-means clustering

QUESTION 47
Which step in the AutoML pipeline involves reducing the size of the large data set into a small-er data set that adequately represents the original?

Hyperparameter Tuning

Model Selection

Algorithm Selection

Feature Selection

Adaptive Sampling

https://oralytics.com/2021/03/15/oml4py-automl-an-example/

QUESTION 48
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?

Classification

Regression

Feature Extraction

Attribute Importance

QUESTION 49
You want to segment your customer data for groups to build supervised models.
What should you use to achieve this?

Regression

Classification

Feature Extraction

Clustering

QUESTION 50
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?

Generalized Linear Model (Regression)

Support Vector Machine (Regression)

Explicit Semantic Analysis

One-Class Support Vector Machine

Generalized Linear Model (Classification)

Neural Networks (Regression)

QUESTION 51
Two users at different locations are collaborating on a project by editing the same notebook. Which type of notebook should they use for collaboration?

Shared Notebook

Example notebook

Personal Notebook

Public Notebook

QUESTION 52
Which two components support in-database automatic machine learning (AutoML) functionality?

OML4SQL

OML4Py

OML4R

OML Services a

OML AutoML UI

Oracle Data Miner

https://www.oracle.com/a/tech/docs/technical-resources/oml-technical-brief.pdf