Oracle 1Z0-1091-22 Exam Dumps

To create Smart Grid Gateway Payload Processing extendable lookup values, you should configure the Events Set Parser and Set Transformer methods in the User Exit Interceptors section. These methods are used to parse and transform event data from payload files into a common format that can be processed by Oracle Utilities Meter Data Management.

You do not need to configure Get Parser and Get Transformer methods, which are used to parse and transform measurement data from payload files. You do not need to configure SOAPSNDR and RTHTTPSNDR methods, which are used to send SOAP or HTTP messages to external systems. You do not need to configure Initial Measurements and Device methods, which are used to initialize measurement data and device information from payload files.

To configure the solution to bill each resident accurately for a small building with five metered apartments and common areas, you should set up a virtual meter to include the apartment usage and 20% of the common areas. A virtual meter is a configuration that defines how measurements from multiple devices or service points are aggregated or disaggregated. A virtual meter can be used to create new measurements from existing ones based on certain rules or factors. By setting up a virtual meter to include the apartment usage and 20% of the common areas, you can ensure that each resident is billed for their own usage and their share of the common usage.

You do not need to set up each apartment's usage subscriptions to have two service points, one for the apartment and one for 20% of the common areas. A usage subscription is a relationship that 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. A usage subscription can have only one service point, not two.

You do not need to calculate the usage for each apartment by using customer information system (CIS), which is an external system that manages customer accounts and billing information. CIS does not calculate usage for each apartment, but receives bill determinants from MDM.

You do not need to use a derivation algorithm to include 20% of the common areas with the apartment accounts, which is a custom logic that can be developed by using Groovy scripting language or Java programming language. A derivation algorithm is not used to create new measurements from existing ones, but to create new measuring components from existing ones.

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.

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.

To support the requirement of replacing legacy scalar time-of-use (TOU) meters with smart meters without changing the CIS rates, you can configure Meter Data Management (MDM) in the following ways:

Add an extendable lookup value containing the new device configuration type and the new usage calculation group: This is used to map the new device configuration type that is used for smart meters to a new usage calculation group that will be used to calculate bill determinants for smart meters. An extendable lookup value is a configurable value that can be used to define business rules or relationships between different objects.

Add the TOU mapping rule to the existing usage calculation group: This is used to map the TOU periods of smart meters to the TOU periods of legacy meters. A TOU mapping rule is a usage calculation rule that is used to convert interval measurements into scalar measurements based on different TOU periods.

Set up the new usage calculation group to be identified dynamically by plug-in logic supplied on the usage subscription's type: This is used to determine which usage calculation group will be used for each usage subscription based on certain criteria, such as device configuration type or service point type. A plug-in logic is a custom logic that can be developed by using Groovy scripting language or Java programming language.

You do not need to write a custom algorithm to determine the proper rate, which is a complex logic that can be developed by using Groovy scripting language or Java programming language. The proper rate can be determined by using the existing CIS rates and mapping them to smart meter TOU periods.

You do not need to add a new usage calculation group with a TOU mapping rule, which is a collection of usage calculation rules that are used to calculate bill determinants from measurements. You can add the TOU mapping rule to the existing usage calculation group instead of creating a new one.