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Oracle 1z0-1196-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Understanding Financial Transactions: This section of the exam measures the skills of a Billing Analyst and covers how customer balances are calculated and maintained through service agreements and financial transactions. It includes how different transactions are generated and verified to ensure financial accuracy.

Topic 2

Configuring Rates: This section of the exam measures the skills of a Rate Designer and covers the structure of rate schedules, including the setup of charges and configuration of rules that influence billing results. It ensures understanding of how each rate component impacts the final bill.

Topic 3

Initiating and Managing Service Orders and Field Activities: This section of the exam measures the skills of a Field Operations Coordinator and covers the full process of handling orchestrated service orders and field activities, from creation to completion. It focuses on extending configurations to support various customer-related field operations.

Topic 4

Understanding Credit and Collections Capabilities: This section of the exam measures the skills of a Collections Officer and covers how the system uses automated processes to prompt debt recovery. It explains key concepts such as payment arrangements and pay plans, which help manage overdue balances.

Topic 5

Understanding Adjustment: This section of the exam measures the skills of a Billing Analyst and covers how different types of adjustments work, the control mechanisms they use, and how they impact account balances. It includes the different methods for initiating and applying adjustments within the system.

Topic 6

Searching and Viewing Customer and Device Related Information: This section of the exam measures the skills of a Customer Service Representative and covers how to navigate the application screens, use advanced search features, and configure portals so users can access specific customer or device-related data efficiently.

Topic 7

Maintaining Device Information: This section of the exam measures the skills of a Device Management Specialist and covers the structure and function of measuring components and their connection to devices. It includes configuring device and measuring component types and managing them through their lifecycle.

Topic 8

Creating and Managing Payments: This section of the exam measures the skills of a Payments Administrator and covers the processing of payments from start to finish. It includes understanding different payment components and configuring systems to accept and reconcile payments from various sources.

Oracle Utilities Customer to Meter and Customer Cloud Service 2025 Implementation Professional Sample Questions (Q37-Q42):

NEW QUESTION # 37
Various records in Customer to Meter reference field and lookup values from their relevant application components. What is used to map similar field and lookup values between application components?

A. Extendable Lookups
B. Feature Configurations
C. Master Configurations
D. Domain Value Maps
E. Lookups

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Oracle Utilities Customer to Meter,Domain Value Mapsare used to map similar field and lookup values between different application components to ensure consistency and interoperability. The Oracle Utilities Customer to Meter Configuration Guide explains that Domain Value Maps define relationships between values in different domains, allowing the system to translate or align data across components (e.g., mapping a billing status code to a financial transaction code).
The other options are incorrect:
Option B: Master Configurations define global system settings, not value mappings.
Option C: Lookups define valid values for a field but do not map values between components.
Option D: Feature Configurations control system behavior, not value mappings.
Option E: Extendable Lookups allow customization of lookup values but do not handle mapping between components.
Thus, the correct answer isA, as Domain Value Maps are the mechanism for mapping values.
Reference:
Oracle Utilities Customer to Meter Configuration Guide, Section: Domain Value Maps Oracle Utilities Customer to Meter Implementation Guide, Chapter: System Configuration

NEW QUESTION # 38
In which plug-in spot can an implementation configure an algorithm to delete a bill as part of the bill completion process?

A. Customer Class - Bill Completion
B. Customer Class - Pre-Bill Completion
C. Service Agreement Type - Pre-Bill Completion
D. Service Agreement Type - Bill Completion
E. Customer Class - Post Bill Completion

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Oracle Utilities Customer to Meter, plug-in spots allow implementations to configure custom algorithms for specific processes, such as bill completion. The Oracle Utilities Customer to Meter Configuration Guide specifies that theCustomer Class - BillCompletionplug-in spot is used to configure algorithms that execute during the bill completion process, including actions like deleting a bill under certain conditions (e.g., zero balance or errors).
The other options are incorrect:
Option A: The Service Agreement Type - Pre-Bill Completion plug-in spot is used for actions before bill completion, not for deleting a bill.
Option B: The Customer Class - Pre-Bill Completion plug-in spot is also for pre-completion actions, not bill deletion.
Option C: The Customer Class - Post Bill Completion plug-in spot is for actions after the bill is completed, not during the completion process.
Option D: The Service Agreement Type - Bill Completion plug-in spot is not a standard spot for bill deletion algorithms; customer class-level configuration is more appropriate.
Thus, the correct answer isE, as the Customer Class - Bill Completion plug-in spot is the correct location for configuring bill deletion algorithms.
Reference:
Oracle Utilities Customer to Meter Configuration Guide, Section: Plug-In Spots for Bill Completion Oracle Utilities Customer to Meter Implementation Guide, Chapter: Customizing Billing Processes

NEW QUESTION # 39
What is redundant data that summarizes the number and value of financial transactions in the system called?

A. Account Control
B. Business Control
C. Tender Control
D. Deposit Control
E. Balance Control

Answer: E

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Oracle Utilities Customer to Meter,Balance Controlrefers to the redundant data that summarizes the number and value of financial transactions in the system. The Oracle Utilities Customer to Meter Billing Guide explains that Balance Control is a mechanism used to maintain a summary of financial transactions for reconciliation and auditing purposes. It aggregates data such as the total number of transactions and their monetary value, providing a high-level view of financial activity without needing to query individual transaction records.
Balance Control is particularly important for ensuring the integrity of financial data, as it allows the system to verify that the summarized data matches the detailed transaction records. For example, if a utility processes thousands of payments daily, Balance Control summarizes the total payment amounts and transaction counts, enabling quick checks for discrepancies.
The other options are incorrect for the following reasons:
Option A: Deposit Controlrelates to managing customer deposits, not summarizing financial transactions.
Option C: Business Controlis not a defined term in the system for this purpose.
Option D: Account Controlmay refer to account-level financial management but does not specifically summarize transaction data across the system.
Option E: Tender Controlmanages payment tenders (e.g., cash, check) but does not summarize financial transaction data.
The Oracle Utilities Customer to Meter Implementation Guide highlights that Balance Control is a critical feature for financial reporting and system performance, as it reduces the need to process large volumes of transaction data for summary reports. For instance, a monthly financial report might use Balance Control data to confirm total revenue without querying every bill segment or payment.
Reference:
Oracle Utilities Customer to Meter Billing Guide, Section: Financial Transaction Summarization Oracle Utilities Customer to Meter Implementation Guide, Chapter: Financial Management

NEW QUESTION # 40
An implementation has the following requirements: Many customers are installing their own solar electrical generation equipment. When these customers generate more electricity than required for their own use, the surplus can be exported back to the power grid. To measure this generation, the utility has installed special scalar devices at customers' premises. These devices have separate registers to measure the energy generated (export) and the energy received (import) from the power grid. Both types of read will be stored in kWh, but the import is subtractive and export is consumptive. Which solution should an implementation choose to configure the measuring component types for these specific requirements?

A. Create two new measuring component types, one for subtractive import and the other for consumptive export, to enable the creation of two measuring components that will be linked to one scalar device.
B. Create one new measuring component type for creating two measuring components, one measuring component for subtractive import and the other for consumptive export, that will be linked to one scalar device.
C. Create one new measuring component type for creating a new measuring component that will be linked to two different scalar devices (one device for import and the other for export).
D. Create two service points, one for subtractive import measuring component and the other for consumptive export, that will be linked to one scalar device.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Oracle Utilities Customer to Meter, the requirement to measure bothimport(energy received from the grid) andexport(energy sent to the grid from solar generation) using a single scalar device with separate registers requires careful configuration ofmeasuring component types. The Oracle Utilities Customer to Meter Configuration Guide specifies that the correct solution is tocreate two new measuring component types, one for subtractive import and the other for consumptive export, to enable the creation of two measuring components that will be linked to one scalar device.
Ameasuring componentis a point that captures and stores measurement data, and its type defines how the data is processed (e.g., subtractive or consumptive). In this scenario:
Thesubtractive import measuring component typeprocesses import readings by subtracting the previous reading from the current reading to calculate consumption (e.g., grid energy used).
Theconsumptive export measuring component typeprocesses export readings as direct measurements of energy generated and sent to the grid.
By creating two distinct measuring component types, the system can link two measuring components to a single scalar device (the meter), each corresponding to a separate register (one for import, one for export).
This configuration ensures accurate tracking of both import and export energy in kWh, with the appropriate calculation logic applied.
The Oracle Utilities Customer to Meter Implementation Guide highlights that this approach is ideal for net metering scenarios, as it allows utilities to bill customers for net consumption (import minus export) while accurately reporting exported energy for credits or grid management.
The other options are incorrect:
Option A: Create one new measuring component type for creating a new measuring component that will be linked to two different scalar devices.This is incorrect, as the requirement specifies a single scalar device with separate registers, not two devices.
Option B: Create two service points, one for subtractive import measuring component and the other for consumptive export, that will be linked to one scalar device.This is incorrect, as a single service point is sufficient, and multiple service points would unnecessarily complicate the configuration.
Option D: Create one new measuring component type for creating two measuring components, one measuring component for subtractive import and the other for consumptive export, that will be linked to one scalar device.This is incorrect, as a single measuring component type cannot support both subtractive and consumptive calculations simultaneously; separate types are needed.
Practical Example:A customer with solar panels has a scalar meter with two registers: one for import (subtractive) and one for export (consumptive). The utility configures two measuring component types:
"Import kWh" (subtractive) and "Export kWh" (consumptive). Two measuring components are created and linked to the meter, capturing import readings (e.g., 500 kWh - 400 kWh = 100 kWh used) and export readings (e.g., 200 kWh generated). The system uses these measurements for net metering, billing the customer for net consumption and crediting export.
The Oracle Utilities Customer to Meter User Guide notes that this configuration supports renewable energy integration, enabling utilities to manage distributed generation while maintaining billing accuracy.
Reference:
Oracle Utilities Customer to Meter Configuration Guide, Section: Measuring Component Types and Net Metering Oracle Utilities Customer to Meter Implementation Guide, Chapter: Device Configuration for Renewable Energy Oracle Utilities Customer to Meter User Guide, Section: Managing Measuring Components

NEW QUESTION # 41
An implementation has imported initial measurement data, measurement data in its initial (or raw) form, and it can be viewed through the Measuring Component portal; however, it is not in the "Final" measurement status. What validation has the initial measurement data passed at a minimum?

A. Multiplier Check Validation
B. Sum Check Validation
C. Critical Validation
D. High/Low Check Validation

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
In Oracle Utilities Customer to Meter,initial measurement data (IMD)represents raw meter readings or data imported into the system before undergoing full validation, editing, and estimation (VEE) processing. The Oracle Utilities Customer to Meter Configuration Guide explains that for IMD to be viewable in the Measuring Component portal, it must have passedCritical Validationat a minimum. Critical Validation ensures that the data meets basic integrity requirements, such as correct format, valid device ID, and non-null values, allowing the system to store and display the data.
Critical Validation is the first step in the VEE process and is mandatory for all imported measurements. If the data fails this validation (e.g., due to a missing device ID or invalid timestamp), it is rejected and not stored in the Measuring Component portal. Once Critical Validation is passed, the measurement is stored with an initial status (e.g., "Pending" or "Initial"), awaiting further VEE processing to reach the "Final" status, which involves additional validations like High/Low Check, Multiplier Check, or Sum Check.
The other options are incorrect for the following reasons:
Option B: High/Low Check Validationverifies that the measurement falls within expected ranges, but this is a subsequent step in VEE and not required for initial storage.
Option C: Multiplier Check Validationensures that meter multipliers are correctly applied, but it occurs later in the VEE process.
Option D: Sum Check Validationconfirms that aggregated measurements match expected totals, but it is not a minimum requirement for initial data storage.
Practical Example:Suppose a utility imports a meter reading of 150 kWh for a specific device. During import, the system performs Critical Validation to confirm that the device ID exists, the reading is numeric, and the timestamp is valid. If these checks pass, the measurement is stored in the Measuring Component portal with an initial status, viewable by users, but it awaits further VEE checks (e.g., High/Low Check) to achieve "Final" status for billing.
The Oracle Utilities Customer to Meter Implementation Guide underscores that Critical Validation is a foundational step to ensure data integrity, enabling the system to handle large volumes of imported measurements efficiently while flagging errors early.
Reference:
Oracle Utilities Customer to Meter Configuration Guide, Section: Initial Measurement Data and VEE Processing Oracle Utilities Customer to Meter Implementation Guide, Chapter: Meter Data Validation

NEW QUESTION # 42
......

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