1z0-1091-22 Oracle Utilities Meter Solution Cloud Service 2022 Implementation Professional Questions and Answers

To configure equipment that attaches to an asset, such as a communication module attached to a meter, you should set up a component. A component is a part of an asset that can be installed and removed independently of the asset. You can define component types and associate them with asset types. For example, you can define a communication module component type and associate it with a meter asset type2.

You do not need to create a master child asset, which is a relationship between two assets that are installed at different service points but are functionally related. For example, you can define a transformer as a master asset and a meter as a child asset2. A master child asset is not suitable for equipment that attaches to an asset.

You do not need to add a sub-asset, which is an asset that is installed at the same service point as another asset but has its own measuring components and usage subscriptions. For example, you can define a meter as a sub-asset of another meter if they share the same service point but have different measurements2. A sub-asset is not suitable for equipment that attaches to an asset.

You do not need to add a constituent part, which is an attribute of an asset that cannot be installed or removed independently of the asset. For example, you can define a battery as a constituent part of a meter if it is embedded in the meter and cannot be replaced2. A constituent part is not suitable for equipment that attaches to an asset.

A virtual meter is a meter that does not physically exist but is used to represent the usage of a group of meters or a portion of a meter. A virtual meter can be used to perform various calculations or adjustments on usage data, such as aggregation, derivation, allocation, or net metering. According to the Oracle Utilities Meter Data Management Business User Guide, to bill the university correctly for a new fast food restaurant that is being installed at the center of the university and whose usage will also be included in the university’s master meter, the correct step is:

• Use derivation algorithms to exclude the restaurant’s usage from the master meter. This can be done by creating a virtual meter that represents the master meter minus the restaurant’s meter and applying a derivation algorithm that subtracts the restaurant’s usage from the master meter’s usage. The virtual meter’s usage can then be used for billing the university.

References: Oracle Utilities Meter Data Management Business User Guide, Chapter 3: Asset Management, Section 3.4: Virtual Meters

Time-of-use (TOU) maps can be used by various functions in Meter Data Management (MDM). A TOU map is a configuration that defines how interval measurements are converted into scalar measurements based on different TOU periods. A typical scenario in which TOU maps are applied is to usage transactions and final measurements for billing and analytical purposes. A usage transaction is a record that stores the bill determinants and other usage information for a usage subscription. A final measurement is a record that stores the measurement data that has been validated, edited, and estimated. TOU maps can be applied to usage transactions and final measurements to calculate bill determinants or perform analysis based on different TOU periods.

TOU maps are not applied to initial measurement data (IMD) records for creating summarized TOU final measurements. IMD records are records that store the raw measurement data that is received from smart meter systems or other sources. IMD records are not converted into final measurements by using TOU maps, but by using VEE rules.

TOU maps are not used to determine the time a user worked on an incorrect measurement, which is a function that is performed by using audit trails or logs. TOU maps are not used to map usage data with geospatial applications, which is a function that is performed by using location data or coordinates.

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.