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You need to set up a configuration that allows service points to be used with various meters. This configuration should support interval, time of use, and scalar devices.
How would you meet this requirement?
A service point is a record that represents a physical location where a utility provides service to a customer. A service point can have one or more devices associated with it to measure the usage of the service. A device is a record that represents a physical meter or other equipment that records usage data. A device can have one or more measuring components associated with it to represent different types of usage data, such as interval, time of use, or scalar. According to the Oracle Utilities Meter Data Management Business User Guide, to set up a configuration that allows service points to be used with various meters and support interval, time of use, and scalar devices, one way to meet this requirement is:
Configure one service point, one device, and three measuring components to be related to the service point as required by the data scenarios. This can be done by creating a service point record and associating it with a device record that represents the meter. Then, creating three measuring component records that represent different types of usage data (interval, time of use, and scalar) and associating them with the device record. Depending on the data scenarios, different measuring components can be used to collect and process usage data for the service point.
Momentary outages are very short-term outages where an outage event is sent and a restoration event is received in less than a few minutes.
Which TWO system components would you configure to ignore momentary outages?
Momentary outages are very short-term outages where an outage event is sent and a restoration event is received in less than a few minutes. These outages may not require any action from the utility and may be ignored for reporting or analysis purposes. According to the Oracle Utilities Meter Solution Cloud Service Business User Guide, two system components that can be configured to ignore momentary outages are:
Device events: These are events that are sent by smart meters to indicate various conditions or situations, such as outages, tampering, or alarms. Device events can be configured with a minimum duration parameter that specifies the minimum time difference between an event start and an event end for the event to be processed. If the event duration is less than the minimum duration, the event is ignored.
Activities: These are tasks that are created by the system or by users to perform various actions, such as meter reading, installation, or maintenance. Activities can be configured with a momentary outage threshold parameter that specifies the maximum time difference between an outage event and a restoration event for the activity to be created. If the outage duration is less than the momentary outage threshold, no activity is created.
In which THREE situations would you use a dynamic option?
A dynamic option is an option that is assigned to an entity at run time based on a characteristic value. Dynamic options are used to provide flexibility and customization for different scenarios. According to the Oracle Utilities Meter Solution Cloud Service Business User Guide, some examples of dynamic options are:
The utility has a program where customers can optionally participate in demand response (DR) programs. A dynamic option is specified on a usage subscription to allow different DR programs to be applied depending on a characteristic value such as customer class or rate schedule.
An option is specified on a service point to allow Validation, Estimation, and Editing (VEE) processing to dynamically invoke a group of VEE rules depending on a characteristic. For example, if the service point has a characteristic indicating that it is part of a net metering program, then a different set of VEE rules may be applied than for a regular service point.
The utility has a program that credits customers for conservation during critical peak periods. A dynamic option is specified on a usage subscription to allow different credit calculations to be applied depending on a characteristic value such as customer class or rate schedule.
Which relationship must be established with an external system or a service provider before creating bill determinants in Meter Data Management (MDM)?
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.
Which TWO Validation, Estimation, and Editing (VEE) rules are typically configured on a project for consumption synchronization processes?
Consumption synchronization is a process that ensures that the usage data from different measuring components (such as interval and scalar) are consistent and aligned. Consumption synchronization can be performed using various methods, such as adjustment, estimation, or derivation. According to the Oracle Utilities Meter Data Management Business User Guide, two types of VEE rules that are typically configured on a project for consumption synchronization processes are:
Interval adjustment from scalar: This is a rule that adjusts the interval curve to match the register consumption. Interval adjustment from scalar can be used to correct any discrepancies between interval and scalar usage data due to factors such as clock drift or multiplier errors.
Sum check: This is a rule that ensures that the usage data from two measuring components are in sync. Sum check can be used to compare the usage data from different measuring components (such as import and export) and flag any differences or errors.
