[Jan-2024] Exam Sure Pass Oracle Certification with 1z0-1041-23 exam questions
Real Oracle 1z0-1041-23 Exam Questions Study Guide
Oracle 1z0-1041-23 Exam Syllabus Topics:
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NEW QUESTION # 31
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. No additional action is needed.
- C. Enable the plug-in from the Plug-in menu.
- D. Restart the OAC instance.
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 # 32
In Oracle Analytics Cloud (OAC), you can quickly search for saved objects.
However, if your input or search criteria is not formed correctly, it will not return any results. What could be the problem with your input?
- A. The input contains the date attribute in the year-month-day format
- B. The input contains a comma (,) in the search text.
- C. The input contains an asterisk (*) in the search text (for example, 'revenue).
- D. The input contains the object name only as search text.
Answer: B
Explanation:
The input containing a comma (,) in the search text is a possible problem that could prevent you from getting any results when searching for saved objects in Oracle Analytics Cloud. The comma is a special character that is used to separate multiple search terms or phrases. If you use a comma in your search text, you need to enclose the text in double quotation marks ("") to indicate that it is a single term or phrase. For example, if you want to search for an object named "Sales, Revenue, and Profit", you need to enter it as ""Sales, Revenue, and Profit"" in the search box. The other options are not problems with the input, as they are valid ways to search for saved objects. You can use an asterisk () as a wildcard character to match any number of characters in your search text (for example, "revenue"). You can use the object name only as search text, as this will return all objects that match or contain the name. You can use the date attribute in the year-month-day format, as this will return all objects that were created or modified on that date. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 33
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. Decision Tree
- B. Anomaly Detection
- C. Logistic Regression
- D. Support Vector Machine
Answer: B
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: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 34
How should you determine the accuracy of a Machine Learning Model created in Oracle Analytics Cloud (OAC)?
- A. Open the inspect dialog for given Machine i earning model and review the F1 score.
- B. Use the Debug option in the Data Flow where the model was created. Create Data Flow that includes a histogram.
- C. Open the inspect dialog for a given Machine Learning model and review the p score.
- D. Run the Machine earning model with various filter values applied.
Answer: A
Explanation:
To determine the accuracy of a machine learning model created in Oracle Analytics Cloud, you can open the inspect dialog for the given machine learning model and review the F1 score. The F1 score is a metric that measures the balance between precision and recall of a machine learning model, especially for binary classification problems. The F1 score ranges from 0 to 1, where 1 means perfect accuracy and 0 means no accuracy. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 35
Which two are supported on the home page of a BI Ask visualization?
- A. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
- B. Drilling down on the visualizations.
- C. saving visualizations displayed on the Oracle Analytics Cloud home page
- D. View data from multiple data sets \n a single query.
Answer: B,D
Explanation:
Drilling down and viewing data from multiple data sets in a single query are two features that are supported on the home page of a BI Ask visualization in Oracle Analytics Cloud. BI Ask is a natural language interface that allows you to ask questions and get answers in the form of visualizations. You can drill down on the visualizations to explore the data at different levels of detail. You can also view data from multiple data sets in a single query by using keywords such as "and", "or", and "with". The other features, such as opening and saving visualizations, are not supported on the home page of a BI Ask visualization, but rather require you to open the visualization in a project or data visualization. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 36
You have a data set of stocks with the columns Date, MaxStockPrice and MinStockPrince.
Which column cannot be removed when performing a trend analysis?
- A. MintStockPrince
- B. MaxStackPrince
- C. Date
- D. All columns are required
Answer: C
Explanation:
To perform a trend analysis on a data set of stocks, you need to have at least one date column that represents the time dimension of your data. A trend analysis is a method of analyzing how a variable changes over time and identifying patterns or trends that may exist. Without a date column, you cannot perform a trend analysis on your data set. The other columns, such as MaxStockPrice and MinStockPrice, are optional and depend on what variable you want to analyze. Reference: [Oracle Help Center]
NEW QUESTION # 37
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
- A. Use the machine learning model visualization.
- B. Create a scenario using the required model.
- C. Create a data sequence.
- D. Create a custom calculation.
Answer: B
Explanation:
A scenario is a way to use a machine learning model within a canvas of an Oracle Analytics Cloud project. A scenario allows you to define inputs and outputs for the model, and then use them to create visualizations or calculations on the canvas. You can also compare different scenarios and see how changing the inputs affects the outputs. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 38
Which application role must you grant to the user?
- A. Bl Content Author
- B. Bl Data Model Author
- C. Bl Dataload Author
- D. DV Content Author
Answer: D
Explanation:
DV Content Author is the application role that you must grant to the user who wants to create and edit data visualizations in Oracle Analytics Cloud. Data Visualization is a feature that allows you to explore, analyze, and visualize your data using various types of charts, graphs, maps, and more. You can also apply filters, calculations, aggregations, and other functions to your data. To access Data Visualization, you need to have the DV Content Author role, which gives you the permission to create and edit data sets, projects, and data flows. The other roles, such as BI Content Author, BI Data Model Author, and BI Dataload Author, are not required for Data Visualization, but rather for other features such as Business Intelligence, Data Modeler, and Data Loader. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 39
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. No additional action is needed.
- C. Enable the plug-in from the Plug-in menu.
- D. Restart the OAC instance.
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 # 40
Which three statements are true about usage tracking in Oracle Analytics Cloud?
- A. You create a new connection pool in Data Modeler.
- B. You create a new connection pool in the Oracle Analytics Developer Client tool.
- C. It is available for both Professional and Enterprise Edition.
- D. After a change has been made to the Usage Tracking Connection Pool setting in the console, a restart is required.
- E. It is available only for Enterprise Edition.
Answer: B,D,E
Explanation:
Usage tracking is a feature of Oracle Analytics Cloud that enables you to collect and analyze information about how users interact with your analytics content and resources. Usage tracking is available only for Enterprise Edition, as this is a more advanced and scalable edition than Professional Edition. To enable usage tracking, you need to create a new connection pool in the Oracle Analytics Developer Client tool, which is a desktop application that allows you to create and manage data models for Oracle Analytics Cloud. You also need to configure the Usage Tracking Connection Pool setting in the console, which is a web-based interface that allows you to administer Oracle Analytics Cloud instances and services. After making any change to this setting, you need to restart your Oracle Analytics Cloud instance for the change to take effect. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 41
As part of an analysis, you have the following set of data:
Assuming, you have entered the Aggregate function SUM (Revenue) in the second column.
- A. Row 1: 1000 Row 2: 2000
- B. Row 1: 2000 Row 2: 3000
- C. Row 1: 1000 Row 2: 3000
- D. Row 1; 3000 Row 2: 3000
Answer: A
Explanation:
Based on the image of the chart, the aggregate function SUM (Revenue) will calculate the sum of revenue for each product category. The chart shows that Product A has two rows with revenue values of 500 and 500, so the sum is 1000. Product B has two rows with revenue values of 1000 and 1000, so the sum is 2000. Reference: Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 42
Which two maps use an API key to add as Map Background?
- A. WMS Map
- B. Oracle Map
- C. Google Map
- D. Tiled Web Map
- E. Baidu Map
Answer: C,E
Explanation:
Google Map and Baidu Map are two examples of maps that use an API key to add as map background in Oracle Analytics Cloud. An API key is a unique identifier that allows you to access and use these map services in your projects. You need to obtain an API key from the map provider and configure it in Oracle Analytics Cloud before you can use these maps as background layers. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 43
You need to compute sales for a period that starts at a quarter before and ends at a quarter after the current quarter.
Which Time Series function will you use?
- A. FORECAST
- B. TODATE
- C. AGO
- D. PERIODROLLING
Answer: D
Explanation:
To compute sales for a period that starts at a quarter before and ends at a quarter after the current quarter, you need to use the PERIODROLLING function. This function allows you to calculate the aggregated value of a measure over a rolling time period relative to the current time level. For example, PERIODROLLING("Sales", -1, 1, "Quarter") will return the sum of sales for the current quarter, the previous quarter, and the next quarter. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 44
Which two filters can be applied to all Dimensional data types?
- A. Range
- B. Date
- C. Expression
- D. List
Answer: C,D
Explanation:
List and Expression are two types of filters that can be applied to all Dimensional data types in Oracle Analytics Cloud. A List filter allows you to select one or more values from a list of values for a dimension column. An Expression filter allows you to create a custom filter expression using SQL syntax for a dimension column. The other types of filters, such as Date and Range, are only applicable to specific data types, such as Date and Numeric. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 45
What does a fact table use to reference dimension tables?
- A. Foreign key
- B. Master key
- C. Primary key
- D. Aggregate type
- E. Dimension attribute
Answer: A
Explanation:
A fact table uses a foreign key to reference dimension tables in a relational database schema. A fact table is a table that contains numerical measures or facts that are related to a business process or event, such as sales, orders, or transactions. A dimension table is a table that contains descriptive attributes or dimensions that provide context to the facts, such as product, customer, time, or location. A foreign key is a column or a set of columns in a table that refers to the primary key of another table. A primary key is a column or a set of columns in a table that uniquely identifies each row in the table. A foreign key establishes a relationship between the fact table and the dimension tables, and allows you to join them for analysis. The other options, such as dimension attribute, aggregate type, and master key, are not used by a fact table to reference dimension tables. A dimension attribute is a column in a dimension table that contains a specific level or detail of the dimension, such as product name, customer name, or month. An aggregate type is a property of a measure column that specifies how the measure should be aggregated or calculated, such as sum, average, count, or minimum. A master key is not a valid term in relational database schema. Reference: Oracle Help Center, Oracle Help Center
NEW QUESTION # 46
Which is a supported source for registering and using Machine Learning models7
- A. Autonomous Data Warehouse
- B. Oracle Cloud Object Storage
- C. SQL Server Oracle Data Science
- D. Mongo Database
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 # 47
What does a single transaction mean in a sequence of data flows?
- A. If any flow within a sequence fails, all the changes made in the sequence remain as is.
- B. A sequence can have only one data flow to save data to multiple data storage.
- C. Multiple data flows in a sequence run one after the other. However, if any now falls, all the changes made in the sequence are rolled back.
- D. A data flow can load to a single data set at one point.
Answer: C
Explanation:
A single transaction means that all the data flows in a sequence are executed as a unit of work. If any data flow fails, the entire sequence is aborted and the changes made by the previous data flows are rolled back to ensure data consistency and integrity. Reference: Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 48
In Oracle Analyt.es Cloud (OAC), an Enterprise BI application database has many dimensions. Which option helps you to visualize on a subset of the original data?
- A. Filtering
- B. Selecting
- C. Sorting
- D. Indexing
Answer: A
Explanation:
Filtering is the option that helps you to visualize on a subset of the original data in Oracle Analytics Cloud. You can use filters to limit the data that is displayed in your visualizations based on certain criteria. You can apply filters to dimensions, measures, or attributes in your data set. The other options, such as Sorting, Indexing, and Selecting, do not help you to visualize on a subset of the original data, but rather change the order, structure, or appearance of the data. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 49
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