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Oracle 1z0-1041-23 Exam Syllabus Topics:
Topic
Details
Topic 1

* Register and apply Oracle Database Machine Learning Models
* Explain Advanced Calculations inside Expression Editor
Topic 2

* Oracle Analytics Cloud Provisioning and Lifecycle
* Describe and Create Oracle Analytic Cloud Solutions
Topic 3

* Provision Users and Application Roles
* Use OAC to present your data as a story
Topic 4

* Explain OAC 'best visualization' for a data set
* Oracle Analytics Cloud Answers, Dashboards, and BI Publisher
Topic 5

* Describe the Advanced Analytics capabilities in OAC
* Create a flexible layout of multiple visualizations to present data as a story
Topic 6

* Describe using Function Shipping with ADW
* Bursting Pixel Perfect Reports and using Data Sets



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Oracle Cloud Infrastructure 2023 Enterprise Analytics Professional Sample Questions (Q10-Q15):

NEW QUESTION # 10
You are creating an analytics solution for a financial institution using Oracle Analytics Cloud.
One of the requirements is a workbook with a model that identifies customers with multiple potential infraudulent transactions.
Which algorithm would be the best fit for this purpose?

* A. Anomaly Detection
* B. Support Vector Machine
* C. Decision Tree
* D. Logistic Regression
Answer: A

Explanation:
Anomaly Detection is the algorithm that would be the best fit for creating a model that identifies customers with multiple potential fraudulent transactions in Oracle Analytics Cloud. Anomaly Detection is a machine learning technique that allows you to detect outliers or anomalies in your data that deviate from the normal or expected behavior. You can use Anomaly Detection to create a model that scores each customer based on their transaction history and flags those who have unusually high or low values as potential fraudsters. The other algorithms, such as Support Vector Machine, Decision Tree, and Logistic Regression, are not the best fit for this purpose. Support Vector Machine is a machine learning technique that allows you to classify data into two or more categories based on a linear or nonlinear boundary. Decision Tree is a machine learning technique that allows you to create rules or conditions for splitting data into branches or nodes based on certain criteria. Logistic Regression is a machine learning technique that allows you to predict the probability of an event occurring based on one or more variables. Reference: , ,

NEW QUESTION # 11
Your client wants to implement a custom plug in from Oracle Analytics Library. Vou just finished uploading the extension to Oracle Analytics Cloud (OAC).
What action do you need to take before the extension is available for use in projects?

* A. Refresh the page.
* B. Enable the plug-in from the Plug-in menu.
* C. Restart the OAC instance.
* D. No additional action is needed.
Answer: A

Explanation:
Refreshing the page is the action that you need to take before the extension is available for use in projects after uploading it to Oracle Analytics Cloud. An extension is a custom plug-in that adds new functionality or enhances existing functionality in Oracle Analytics Cloud. You can download extensions from Oracle Analytics Library, which is a repository of extensions created by Oracle and the community. You can also create your own extensions using the Extension SDK, which is a software development kit that provides tools and resources for developing extensions. To upload an extension to Oracle Analytics Cloud, you need to go to the Console page and select Plug-ins from the menu. Then you need to click on Upload and browse for the extension file (.zip) that you want to upload. After uploading the extension, you need to refresh the page to see the extension in the list of available plug-ins. You can then enable or disable the extension as needed. The other actions, such as enabling the plug-in from the Plug-in menu, restarting the OAC instance, or taking no additional action, are not required or correct before the extension is available for use in projects. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center

NEW QUESTION # 12
Which two statements are true about Oracle Analytics Cloud (OAC) self-service data preparation

* A. Data flows have many built-in steps that can be used to prepare the data.
* B. Joins can be created only in Oracle Analytics Cloud Data Modeler.
* C. The Oracle Data Integrator (ODI) tool, which is used for extract, load, and transformation, foundational component of Oracle Analytics Cloud and is essential for data preparation.
* D. Database data can be extended with spreadsheet data.
Answer: A,D

Explanation:
Oracle Analytics Cloud (OAC) self-service data preparation is a feature that allows you to transform and enrich data from various sources and create data sets for analysis or visualization. Some statements that are true about OAC self-service data preparation are:
Database data can be extended with spreadsheet data. This means that you can join or union data from a database source with data from a spreadsheet file and create a new data set that combines both sources.
Data flows have many built-in steps that can be used to prepare the data. This means that you can use data flows to perform various operations on your data, such as creating calculated columns, filtering or sorting rows, grouping or aggregating values, applying machine learning models, or saving data to different formats. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide

NEW QUESTION # 13
You have a global data set for oil princes for a period of time for each country.
However, you need to perform analyses on Asian countries for a period of one month Which two combinations of filters could you use to achieve this?

* A. Date Range and Top Bottom N
* B. List and Date Range
* C. List and Range
* D. Range and Expression
* E. Expression and Date Range
Answer: B,E

Explanation:
To filter a global data set for oil prices for a period of time for each country based on Asian countries and one month period, you can use two combinations of filters:
Expression and Date Range: An expression filter allows you to create a custom filter expression using SQL syntax. You can use an expression filter to specify the condition for Asian countries based on the country column of your data set. A date range filter allows you to filter your data based on a start date and an end date. You can use a date range filter to specify the one month period based on the date column of your data set.
List and Date Range: A list filter allows you to filter your data based on one or more values from a list of values. You can use a list filter to select the Asian countries from the list of values in the country column of your data set. A date range filter allows you to filter your data based on a start date and an end date. You can use a date range filter to specify the one month period based on the date column of your data set. Reference: , ,

NEW QUESTION # 14
Which is a supported source for registering and using Machine Learning models7

* A. Autonomous Data Warehouse
* B. Mongo Database
* C. Oracle Cloud Object Storage
* D. SQL Server Oracle Data Science
Answer: A

Explanation:
Autonomous Data Warehouse is a supported source for registering and using machine learning models in Oracle Analytics Cloud. You can use the Register Model step in a data flow to register a machine learning model from Autonomous Data Warehouse and use it in your analyses or visualizations. You can also use the Apply Model step to apply a registered model to a new data set and generate predictions. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide

NEW QUESTION # 15
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