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Free Oracle 1Z0-1041-23 Exam Questions (page: 6)

Page 3 of 18
PDF with 69 Questions

You have a data set of stocks with the columns Date, MaxStockPrice and MinStockPrince.

Which column cannot be removed when performing a trend analysis?

  1. Date
  2. MintStockPrince
  3. All columns are required
  4. MaxStackPrince

Answer(s): A

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]



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?

  1. Expression and Date Range
  2. Range and Expression
  3. List and Range
  4. Date Range and Top Bottom N
  5. List and Date Range

Answer(s): A,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:

[Oracle Help Center], [Oracle Help Center], [Oracle Help Center]



Which two steps do you perform to create a Relative Time filter?

  1. Add a date column to the Filter bar.
  2. Select Relative Time as the filter type.
  3. Select Date Range as the filter type.
  4. Select Relative Time as the filter type and set the Relative To property.

Answer(s): B,D

Explanation:

To create a relative time filter, you need to perform two steps:
Select Relative Time as the filter type: A relative time filter allows you to filter your data based on a relative time period, such as last week, next month, or current year. You can select Relative Time as the filter type from the drop-down menu of the filter bar. Select Relative Time as the filter type and set the Relative To property: The Relative To property allows you to specify the reference point for your relative time period. For example, if you want to filter your data for the last quarter relative to today, you can set the Relative To property to Today. You can set the Relative To property from the filter dialog box after selecting Relative Time as the filter type.


Reference:

[Oracle Help Center], [Oracle Help Center]



Which two filters can be applied to all Dimensional data types?

  1. List
  2. Date
  3. Expression
  4. Range

Answer(s): A,C

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]



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