Oracle 1Z0-1091-22 Exam

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.

The interval proxy day estimation VEE rule is a rule that estimates missing intervals by selecting interval data to average from a list of days that are most like the day being estimated. This is achieved by measuring the component comparison periods, which are periods of time that are used to compare different days based on certain criteria. According to the Oracle Utilities Meter Data Management Business User Guide, one factor that is used to define the proxy or the list of days that are most like the day being estimated is:

Weather data: This is data that indicates the temperature or other weather conditions for a given day. Weather data can be used to select days that have similar weather patterns or variations as the day being estimated.

The client requests to design and set up data necessary to support an electric meter that is installed at a customer's service point with solar panels. The meter has two channels that measure the kWh that was consumed from the grid and the kWh that was generated. Using the Math usage rule, usage transactions that take the difference between the consumed and generated channels must be created and stored. According to the Oracle Utilities Meter Data Management Business User Guide, some statements that are true about this scenario are:

The two channels need distinct service quantity identifiers (SQIs) to differentiate between the generated and consumed kWh. SQIs are codes that identify different types of usage data, such as kWh, kVARh, or kW. SQIs can be used to specify which usage data should be used for calculation or validation purposes.

Net consumption SQI is required. This is a code that identifies the usage data that represents the difference between the consumed and generated kWh. Net consumption SQI can be used to store and name the difference value and export it to other systems.

You must set ''Save Derived Vector'' to Yes in the Math usage rule. This is a parameter that indicates whether the derived curve that results from the Math usage rule should be saved or not. Setting this parameter to Yes can be used to store the derived curve that represents the net consumption.

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.

The client requests to design and set up data necessary to support an electric meter that is installed at a customer's service point with solar panels. The meter has two channels that measure the kWh that was consumed from the grid and the kWh that was generated. Using the Math usage rule, usage transactions that take the difference between the consumed and generated channels must be created and stored. According to the Oracle Utilities Meter Data Management Business User Guide, some statements that are true about this scenario are:

The two channels need distinct service quantity identifiers (SQIs) to differentiate between the generated and consumed kWh. SQIs are codes that identify different types of usage data, such as kWh, kVARh, or kW. SQIs can be used to specify which usage data should be used for calculation or validation purposes.

Net consumption SQI is required. This is a code that identifies the usage data that represents the difference between the consumed and generated kWh. Net consumption SQI can be used to store and name the difference value and export it to other systems.

You must set ''Save Derived Vector'' to Yes in the Math usage rule. This is a parameter that indicates whether the derived curve that results from the Math usage rule should be saved or not. Setting this parameter to Yes can be used to store the derived curve that represents the net consumption.