1Z0-1091-22 Exam Dumps and Practice Questions

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 usage subscription is a relationship that must be established with an external system or a service provider before creating bill determinants in Meter Data Management (MDM). A usage subscription defines the external system or service provider that will receive the bill determinants, the usage calculation group that will be used to calculate the bill determinants, and the service points that will provide the measurement data for the bill determinants.

You do not need to establish a usage factor, a usage transaction, or a usage rule with an external system or a service provider before creating bill determinants. A usage factor is a value that is used to adjust or convert measurements based on certain criteria. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A usage rule is a rule that is used to calculate, validate, or estimate bill determinants based on certain criteria.

The Subtractive Interval Data functionality is a feature that enables Meter Data Management (MDM) to process interval data from devices that do not provide interval readings, but only cumulative readings. The Subtractive Interval Data functionality performs the following actions:

The IMD load processes calculate consumption in engineering units: The IMD load processes are batch processes that load initial measurement data (IMD) records from smart meter systems or other sources into MDM. The IMD load processes calculate consumption in engineering units by subtracting consecutive cumulative readings and applying conversion factors.

A new reading condition field ensures that you do not lose the reading quality when a meter's consumption is estimated: A reading condition field is an attribute that indicates the quality or status of a measurement, such as valid, invalid, estimated, or substituted. A new reading condition field called Original Reading Condition is added to store the original reading condition of a cumulative reading when its consumption is estimated by using VEE rules.

You can optionally validate for rollover exceptions and negative consumption calculations: You can configure VEE rules to check for rollover exceptions and negative consumption calculations when processing subtractive interval data. A rollover exception occurs when a cumulative reading reaches its maximum value and resets to zero. A negative consumption calculation occurs when a cumulative reading decreases instead of increasing.

It is not true that it validates consumption in initial measurement data (IMD), which are records that store the raw measurement data that is received from smart meter systems or other sources. Subtractive Interval Data functionality does not validate consumption in IMD, but calculates consumption from cumulative readings.

It is not true that it converts engineering units into reads, which are values that are recorded by devices at certain intervals or events. Subtractive Interval Data functionality does not convert engineering units into reads, but calculates consumption in engineering units from cumulative readings.

To configure the application to generate service investigative orders for revenue protection, you should perform the following tasks:

Set up VEE rules to look for low usage: VEE rules are used to validate, estimate, and edit measurements based on certain criteria. You can set up VEE rules to look for low usage patterns that may indicate theft or meter malfunction.

Configure service task type to look for Validation, Estimation, and Editing (VEE) exceptions, device events, and failed commands: Service task types are used to define the types of work that need to be performed on devices or service points. You can configure service task types to look for VEE exceptions, device events, and failed commands that may indicate theft or meter malfunction. You can also configure service task types to trigger service orders when these conditions are met.

Import device events related to theft: Device events are occurrences that happen on devices, such as tampering, reverse energy flow, or magnetic interference. You can import device events related to theft from smart meter systems using the Smart Grid Gateway or other integration methods.

You do not need to tune the AI engine to look for theft by using theft algorithms or configure case management. These are features of Oracle Utilities Revenue Protection Cloud Service, which is a separate product from Oracle Utilities Meter Data Management.

Initial measurement data (IMD) are raw measurement data that are imported into Oracle Utilities Meter Data Management from various sources, such as head-end systems, meter reading systems, or manual entry. IMD can be viewed through the Measuring Component portal, but they are not ready for export or further processing until they pass validation, estimation, and editing (VEE) processing. VEE processing is a set of rules and algorithms that check and correct measurement data for any gaps, errors, or anomalies. According to the Oracle Utilities Meter Data Management Business User Guide, one type of VEE rule that IMD must pass in order to become final measurement data is:

Critical validation: This is a rule that checks whether IMD meet certain minimum criteria for quality and completeness. Critical validation can be used to filter out IMD that are missing, duplicated, corrupted, or invalid.