Most Recent Oracle 1Z0-1091-22 Exam Dumps

Smart Grid Gateway (SGG) is a product that provides integration between Oracle Utilities Meter Data Management and various head-end systems that communicate with smart meters. SGG supports different types of commands that can be sent to smart meters to perform various actions, such as reading, pinging, connecting, or disconnecting. According to the Oracle Utilities Smart Grid Gateway User Guide, some examples of commands that are supported by the SGG adapters are:

On-demand reading: This is a command that requests a smart meter to send its current or historical usage data to the head-end system. On-demand reading can be used for billing purposes or for verifying meter readings.

Ping meter: This is a command that tests the communication between the head-end system and the smart meter. Ping meter can be used for troubleshooting purposes or for checking meter status.

Connect: This is a command that enables the service at a smart meter. Connect can be used for activating service for a new customer or for restoring service after a payment.

The Vector and Service Quantity Math usage rule facilitates the configuration of complex vector calculations. It is based on a series of underlying services with vectors configured as input to the calculations. Some typical uses of the usage rule are:

Finding coincident peaks: This is a calculation that finds the highest demand value for each interval across multiple service points or devices.

Performing Array math: This is a calculation that performs arithmetic operations on arrays of interval data, such as addition, subtraction, multiplication, or division.

Performing math formulas on interval data: This is a calculation that performs mathematical functions on interval data, such as logarithm, exponentiation, square root, or trigonometry.

Finding max values is not a typical use of the Vector and Service Quantity Math usage rule. Finding max values is a simple calculation that finds the highest demand value for each service point or device.

Converting interval data to scalar reads is not a typical use of the Vector and Service Quantity Math usage rule. Converting interval data to scalar reads is done by using other usage rules, such as Interval Data Scalar Read Rule.

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 Measurement Reprocessing functionality is a feature that enables MDM to reprocess measurements based on certain criteria or events. Some of the statements that are true about the Measurement Reprocessing functionality are:

When a meter multiplier changes retroactively, measurements are reprocessed, triggering billing adjustment notifications that are sent to the customer information systems: A meter multiplier is a value that is used to adjust measurements based on certain factors, such as device accuracy or calibration. When a meter multiplier changes retroactively for a meter, measurements are reprocessed by applying the new meter multiplier value and triggering billing adjustment notifications that are sent to the customer information systems (CIS) to correct any billing errors or discrepancies.

Derived measurements are recalculated based on new data: Derived measurements are values that are calculated from raw measurements based on certain rules or factors. When new data is available for raw measurements, such as corrected or estimated values, derived measurements are recalculated based on the new data.

When an installation constant changes retroactively for a meter, measurements are not automatically reprocessed, triggering billing adjustment notifications that are sent to the customer information systems. An installation constant is a value that is used to adjust measurements based on certain factors, such as device configuration or installation. When an installation constant changes retroactively for a meter, measurements are not automatically reprocessed, but require manual intervention by using the Reprocess Measurements batch process.

Measurement reprocessing is not executed by users manually, which imports corrected initial measurement data (IMD) records. Measurement reprocessing is executed by MDM automatically or by using batch processes, which reprocess existing measurement data based on certain criteria or events.

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.