Most Recent Oracle 1Z0-1091-22 Exam Dumps

Oracle Utilities Meter Data Management normalizes measurements during the Create the Final Measurements stage of loading interval initial measurement data. Normalization is the process of converting interval measurements into a common format that can be processed by Oracle Utilities Meter Data Management. Normalization involves storing each interval measurement as a single record for a specific date and time, regardless of how they are received from smart meter systems.

Oracle Utilities Meter Data Management does not normalize measurements during other stages of loading interval initial measurement data, such as Load the Initial Measurements stage or Validation, Estimation, and Editing (VEE) stage. Normalization is not done for other purposes, such as validation or intervalization.

Usage calculation groups are used to define how usage data are calculated, validated, and exported for different purposes, such as billing, settlement, or analysis. Usage calculation groups can have different components that specify the logic and parameters for performing various operations on usage data. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of components that can be configured in usage calculation groups are:

CIS rates: These are rate schedules that are defined in the customer information system (CIS) and imported into Oracle Utilities Meter Data Management. CIS rates can be used to specify which bill determinants or usage calculations should be applied for different rate schedules or customer classes.

Bill determinants or usage validations: These are rules that check the quality or accuracy of usage data and assign condition codes or flags to indicate any issues or errors. Bill determinants or usage validations can be used to ensure that usage data meet certain criteria or standards before they are exported to CIS or other systems.

Bill determinants or usage calculations: These are rules that perform various calculations or adjustments on usage data, such as dividing usage into time-of-use periods, applying factors or multipliers, or deriving net usage. Bill determinants or usage calculations can be used to generate different types of bill determinants for billing purposes.

A time-of-use (TOU) group is a set of TOU maps that define how usage is divided into different TOU periods for different days of the week and seasons of the year. A TOU group can have a work calendar associated with it to define holidays and other special days that may have different TOU periods than regular days. According to the Oracle Utilities Meter Solution Cloud Service Business User Guide, to configure a TOU group for ''on peak'', ''off peak'', and ''shoulder'' periods and have holiday consumption categorized as ''off peak'' regardless of the day on which it falls, the correct steps are:

Add the work calendar to the TOU map template and set the Holiday TOU as ''off peak''. This will ensure that any day marked as a holiday in the work calendar will have its usage assigned to the ''off peak'' period.

Create a TOU map for each season using the TOU map template and define the start and end times for each TOU period (''on peak'', ''off peak'', and ''shoulder'') for each day of the week.

Create a TOU group and add the TOU maps for each season to it.

Dynamic aggregation is a feature that allows users to perform aggregation processes on usage data based on dynamic queries that are defined by administrative data. Dynamic aggregation can be used to generate aggregated usage data for different dimensions and criteria, such as customer class, rate schedule, or geographic area. According to the Oracle Utilities Meter Data Management Business User Guide, some examples of the main components of dynamic aggregation are:

Measuring Component Sets: These define the dimensions and criteria by which aggregation is performed. Measuring Component Sets specify which characteristics and values should be used to group usage data for aggregation purposes.

Measuring Components: These represent ''buckets'' or unique combinations of dimension values that are generated by Measuring Component Sets. Measuring Components store the aggregated usage data for each combination of dimension values.

Data sources: These store project-provided SQL for getting data from different sources, such as usage subscriptions, measuring components, or virtual meters. Data sources specify which data should be used as input for aggregation processes.

Synchronization Add BO is associated with the lifecycle algorithm on Dl-Device Configuration BO. A lifecycle algorithm is a custom logic that can be developed by using Groovy scripting language or Java programming language. A lifecycle algorithm is used to perform certain actions or validations when a business object is created, updated, or deleted. Synchronization Add BO is a parameter that can be configured on the lifecycle algorithm on Dl-Device Configuration BO. Synchronization Add BO is used to determine the appropriate business object for creating a new device based on certain criteria, such as device type or device configuration type.

Synchronization Add BO is not associated with the business service associated with Dl-Device Configuration BO, which is a component that provides the functionality and logic for processing data related to device configuration. Synchronization Add BO is not associated with the options on Dl-Device Configuration BO, which are configurable values that can be used to define business rules or relationships for device configuration. Synchronization Add BO is not associated with the validation algorithm on Dl-Device Configuration BO, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A validation algorithm is used to perform certain checks or validations on the data entered for device configuration.