Oracle 1Z0-1091-22 Exam Actual Questions

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.

The client has installed scalar devices to measure the solar energy generated (export) and the energy received (import) from the market. This data is stored in separate measuring components (registers). The validation rules are generally the same for both measuring components, but there is one exception: the negative consumption check applies only to energy received (import). According to the Oracle Utilities Meter Data Management Business User Guide, two configurations that ensure that the negative consumption check is checked for energy received (import) only are:

Use eligibility criteria: These are rules that determine whether a VEE rule should be applied or not based on certain conditions or characteristics. Eligibility criteria can be used to apply the negative consumption check only to the measuring component that has a characteristic value indicating energy received (import).

Use the Skip flag in the VEE rule: This is a flag that indicates whether a VEE rule should be skipped or not based on certain conditions or characteristics. The Skip flag can be used to skip the negative consumption check for the measuring component that has a characteristic value indicating energy generated (export).

Usage transactions can contain date breaks, which are dates that divide a usage period into sub-periods based on certain criteria or events. Date breaks are used to supply date breaks for usage transactions. Date breaks are specified by the requesting system or user input when requesting a usage transaction. A requesting system is an external system or service provider that requests bill determinants from MDM. A user input is a manual entry of data by a user.

Usage subscription BO is not used to supply date breaks for usage transactions. A usage subscription BO is a business object that defines the relationship between a service point and a subscribing system.

Usage subscription type is not used to supply date breaks for usage transactions. A usage subscription type is a configuration that defines the properties and rules for a usage subscription.

Deferred monitor calculation algorithm is not used to supply date breaks for usage transactions. A deferred monitor calculation algorithm is a custom logic that can be developed by using Groovy scripting language or Java programming language. A deferred monitor calculation algorithm is used to perform certain calculations or validations on usage transactions after they are created.

Some of the best practices for measurement retention are:

Derive time-of-use (TOU) values with interval data to prevent storing extra data: Time-of-use (TOU) values are scalar values that are calculated from interval data based on different TOU periods. Interval data is measurement data that is recorded at regular intervals, such as every 15 minutes or every hour. To prevent storing extra data, you can derive TOU values with interval data instead of storing them separately.

Derive demand from interval data to prevent storing extra data: Demand is a value that indicates the maximum power or load that is consumed or generated during a certain period. Demand can be calculated from interval data by using certain methods, such as block demand or rolling demand. To prevent storing extra data, you can derive demand from interval data instead of storing them separately.

Use Information Lifecycle Management (ILM) processes to help archive data: Information Lifecycle Management (ILM) processes are features that enable MDM to manage the lifecycle of measurement data based on certain policies or rules. ILM processes can help archive data that is no longer needed or used by moving them to different storage tiers or deleting them.

You do not need to keep scalar measurements in the customer read tables to stay consistent, which are tables that store measurement data that is entered by customers or meter readers. Scalar measurements are measurement data that are recorded at certain events, such as billing cycle end or meter exchange. You can store scalar measurements in different tables based on their source or status.

You do not need to keep initial measurement data (IMD) for the same period of time as final measurements for cancel rebill purposes, which are records that store the raw measurement data that is received from smart meter systems or other sources. Final measurements are records that store the measurement data that has been validated, edited, and estimated. You can keep IMD for a shorter period of time than final measurements based on your business needs or requirements.

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.