Free Oracle 1z0-996-22 Practice Exam with Questions & Answers | Set: 2

 The base functions that you should use to meet your client’s requirements are the following:

• Apply validations on meter reads coming from the Data Collectors: You can use the Oracle Utilities Meter Data Management (MDM) Cloud Service to perform validation, editing, and estimation (VEE) on the initial measurement data (IMD) that is loaded from the Head End system or other source. MDM has a set of predefined VEE rules that can be configured and customized to check the accuracy and completeness of the meter reads. You can also define your own VEE rules using the VEE Rule Maintenance feature. MDM applies the VEE rules to the IMD based on the VEE Group and the VEE Execution Type that are associated with the device configuration and the service point. MDM also supports manual VEE for users to review and edit the IMD.
• If a meter read does not pass the validation, an error will be generated and assigned to a user: You can use the To Do feature to create and assign tasks for users to resolve the VEE exceptions that are generated when the IMD fails the validation. You can configure the system to automatically create a To Do entry for each VEE exception or for a group of VEE exceptions based on the To Do Creation Algorithm on the VEE Rule. You can also specify the To Do Type, the To Do Status, the To Do Priority, and the To Do Assignee for the To Do entry. The To Do entry will contain the details of the VEE exception, such as the IMD ID, the VEE Rule ID, the VEE Group ID, and the VEE Execution Type ID. The user can access the To Do entry from the To Do List or the 360 Degree View device portal and take the appropriate action to correct the IMD or the VEE rule.
• Retry the validation every 30 minutes for the errors in case the issue is related to configuration: You can use the IMD Retry feature to automatically reprocess the IMD that has VEE exceptions after a specified interval. You can configure the system to set the Next Retry Date/Time on the IMD to 30 minutes after the VEE exception is generated. You can also specify the Maximum Number of Retries and the Retry Interval Algorithm on the VEE Rule. The system will run the algorithm D1-IMD-RETRY (Retry Initial Measurement Data Processing) periodically to identify the IMD that has a Next Retry Date/Time that is less than or equal to the current date and time. The algorithm will then reapply the VEE rules to the IMD and update the VEE results. If the IMD passes the validation, the VEE exception and the To Do entry will be cleared. If the IMD still fails the validation, the Next Retry Date/Time will be updated and the To Do entry will remain open until the user resolves the issue or the maximum number of retries is reached. References: Oracle Utilities Meter Data Management Overview, VEE Rule Maintenance, [To Do], [IMD Retry]

In Oracle Utilities Customer Cloud Service, the valid asset dispositions reflect the various stages an asset undergoes throughout its lifecycle. The correct answer, "C. In Receipt; Installed; In Stores; Retired", represents these stages. These dispositions indicate the status and location of assets as they move in and out of service or undergo maintenance or repair. For example, 'In Receipt' may indicate an asset newly received and not yet deployed, 'Installed' represents assets actively in use, 'In Stores' for assets held in storage, and 'Retired' for assets that are no longer in service​​​​.

References:

• Oracle documentation on About Assets: About Assets​​.
• Oracle documentation on Asset Locations: Asset Locations​​.

Collection Class Control is the entity that defines the type of collection process to start based on the age of debt, amount of debt, and type of customer. Collection Class Control is a set of rules that determines which collection class (i.e., the collection process template) to assign to a service agreement based on its debt characteristics and customer class1. Collection Class Control also defines the frequency and timing of the collection process assignment and the criteria for canceling a collection process1. Collection Class Control is associated with a debt class, which is a category of debt that defines how it is calculated, aged, and collected2. Collection Class Control allows you to create different collection strategies for different types of debt and customers. References: Collection Class Control, Debt Class, Oracle Utilities Customer Cloud Service - Get Started

The algorithm D1-CNSPINSDV (Connect SP and/or Install Device) is used to create a device and/or a device configuration when a service point is connected or disconnected. The algorithm checks the status of the service point and the device configuration type to determine if a device or a device configuration needs to be created. For example, if the service point is connected and the device configuration type is Install, the algorithm will create a device and a device configuration. If the service point is disconnected and the device configuration type is Remove, the algorithm will create a device configuration only. References: Oracle Utilities Customer Cloud Service Service Order Configuration Guide, Oracle Utilities Customer Cloud Service Service Order User Guide, Oracle Utilities Customer Cloud Service Algorithms Configuration Guide

 The major entities that hold the key geographic, demographic, and financial information related to a customer who is financially responsible for a property are:

• Account: An account represents the financial relationship between a customer and the utility. It contains information such as the account number, account type, account status, billing cycle, payment plan, and balance.
• Customer Class: A customer class is a grouping of customers based on common characteristics, such as residential, commercial, or industrial. It determines the default values for various attributes, such as rate schedules, service agreements, and billing options.
• Person: A person is an individual who is associated with an account, such as the account holder, a contact, or a guarantor. It contains information such as the name, address, phone number, email, and identification number of the person.
• Premise: A premise is a physical location where a utility service is provided. It contains information such as the premise number, premise type, premise status, address, coordinates, and service point.
• Service Agreement: A service agreement is a contract between a customer and the utility that defines the terms and conditions of the service, such as the service type, start date, end date, rate schedule, and billing frequency.

These entities are linked together in a hierarchical structure, as shown in the following diagram1:

References:

• Oracle Utilities Customer Cloud Service Business User Guide, Chapter 2: Customer Information, Section 2.1: Understanding Customer Information
• [Oracle Utilities Customer Cloud Service Administrative User Guide], Chapter 2: Configuring Customer Information, Section 2.1: Configuring Customer Information Entities

 Initial measurement data (IMD) is the raw data that is received from external systems and processed by the system to create final measurements for billing and analysis. IMD goes through two major stages of processing: IMD Seeder and Specific IMD. The IMD Seeder is the common interface point that receives all IMD information and performs critical validations and conversions. The critical validations include checking the validity of the device and measuring component identifiers, the date and time format, the unit of measure, and the measurement status. If the IMD passes the critical validations, it is sent to the appropriate specific IMD business object for further processing. The specific IMD business object performs additional validations and calculations based on the type and category of the IMD. These validations include multiplier check, high/low check, sum check, and VEE rules. If the IMD passes all the validations and calculations, it is marked as “Final” and the final measurements are created. Therefore, if the IMD is not in the “Final” measurement status, it means that it has passed the critical validation, but not the other validations and calculations. References: Processing Initial Measurement Data, Initial Measurement Data, Configuring the Initial Measurement Algorithms

 An account’s balance is the total amount of money that the account owes or is owed by the utility1. An account’s balance is determined by the sum of all the financial transactions linked directly to the account2. Financial transactions are records of monetary events that affect an account, such as charges, payments, adjustments, or refunds3. Financial transactions can be linked to an account directly or indirectly through a service agreement. However, only the financial transactions that are linked directly to the account are used to calculate the account’s balance2. Therefore, the correct answer is E. the sum of all the Financial Transactions linked directly to the account. References:

• About Accounts
• About Account Balances
• About Financial Transactions
• [Understanding Financial Transaction Linkage]

According to the Oracle Utilities Customer Cloud Service User Guides, loss-adjusted kWh is a calculated value that represents the actual amount of energy delivered to a customer after accounting for the losses incurred during transmission and distribution1. To derive this value, the system needs to apply a loss factor to the raw kWh measurement obtained from the measuring component. A loss factor is a percentage that indicates how much energy is lost between the point of generation and the point of delivery1. A loss factor can vary depending on the location, voltage level, and time of the service point1. Therefore, the solution is to configure a Service Point Characteristic Type that can store the loss factor value for each service point, and a derivation algorithm that can apply the loss factor to the kWh measurement. The derivation algorithm should also use a Service Quantity Identifier (SQI) to distinguish the loss-adjusted kWh from the raw kWh, and a factor to indicate the mathematical operation to be performed (such as multiplication or division)2. The SQI and the derivation algorithm should be associated with the Measuring Component Type that measures the kWh, and the characteristic value should be associated with the service point. This way, the system can calculate the loss-adjusted kWh for each measuring component and service point combination, and store it as a separate value identifier2. References:

• Loss-Adjusted kWh
• Derivation Algorithms

 To apply different validation rules to different measuring components, you can either create two different VEE groups and assign them to the respective measuring components, or use eligibility criteria to specify the conditions under which a VEE rule should be applied or skipped. Both of these options allow you to check the Negative Consumption rule for energy received (import) only, while applying the other validation rules to both measuring components. References:

• Oracle Utilities Customer Cloud Service Business User Guide, Chapter 5: Metering, Section 5.3: Validating Meter Data
• Oracle Utilities Customer Cloud Service Administrative User Guide, Chapter 6: Configuring Metering, Section 6.2: Configuring Validation, Estimation, and Editing (VEE)