Oracle 1Z0-1063-26 Real Exam Questions [October 2026 Update]

The data quality challenge that Oracle Customer Data Management Cloud Service exists to solve is not primarily a technology problem – and the exam tests implementation professionals who understand this. Duplicate customer records proliferate in enterprise CRM and ERP systems for a simple reason: different people creating records in different systems at different times cannot easily check whether a record already exists. A sales representative creates a new Account in CRM. A procurement specialist creates a Supplier record in ERP using the same company’s name but a slightly different spelling. An order entry clerk creates a Ship-To party in the order management system without knowing either previous record exists. The result is three representations of the same legal entity – with separate transaction histories, separate credit limits, and separate contact lists – that will never reconcile unless a governed deduplication process brings them together. Oracle Customer Data Management Cloud Service (CDM Cloud) is that governed deduplication process. What the exam tests is not whether candidates know duplication is a problem – everyone does – but whether they know which CDM configuration objects control how the system identifies potential duplicates, how data stewards review and resolve them, and how the merge operation consolidates surviving records.

The Oracle Enterprise Data Quality (EDQ) integration is the foundational technology behind CDM Cloud’s duplicate identification – and it is the most precisely tested technical configuration in the exam. EDQ is a data quality engine embedded within the CDM Cloud offering. When the duplicate identification process runs (in real time during record creation, or in batch mode against existing records), it calls EDQ’s matching algorithms to compare the new or suspect record against existing records in the customer registry. The match configuration determines the comparison logic: which attributes are compared (name, address, phone, tax ID), how each attribute is weighted in the total match score, and what score threshold triggers a “potential duplicate” flag. The exam tests EDQ match configuration as the implementation setup – not the EDQ user interface or algorithm details, but the fact that matching uses EDQ and that the configuration must be set up in Setup and Maintenance before duplicate identification can run.

The merge operation is where CDM Cloud’s governance model is most visible to the business – and where the exam tests the most implementation-specific knowledge. When data stewards review duplicate identification results and determine that two records represent the same entity, they submit a merge request. The merge request designates one record as the Master (the surviving record that will retain transactions and be the golden profile going forward) and the other as the Duplicate (the record that will be absorbed into the master and deactivated or deleted). The User Merge Requests profile option controls whether merge requests submitted by business users are processed immediately (subject to approval) or are queued for Data Steward review. The exam tests this profile option as the governance configuration that determines who can approve and execute merges – an implementation decision with significant data integrity implications.

Exam Snapshot

What Oracle Customer Data Management Cloud Service Does

Oracle Customer Data Management (CDM) Cloud Service provides a unified customer master – a single, trusted, deduplicated repository of customer account and contact data that serves all Oracle Cloud applications. CDM Cloud enforces data quality through: duplicate prevention (checking for existing records before a new record is created), duplicate identification (finding existing duplicates in the registry), duplicate resolution (merging duplicates into consolidated master records), address cleansing (standardising and validating address data), hierarchy management (capturing corporate family relationships), and data enrichment (supplementing customer records with third-party data).

CDM Cloud is deployed as part of the Customer Data Management offering in Oracle CX Sales and Service – it governs the Account and Contact master data that sales teams rely on for pipeline management, territory assignment, and customer engagement.

Domain 1: Customer Data Management Offering Setup

Opting into the CDM offering: Before any CDM Cloud feature can be used, an Application Implementation Consultant must opt into the Customer Data Management offering in the Setup and Maintenance work area. Opting in activates the CDM-specific functional areas and makes CDM work area tasks available to data stewards and administrators.

CDM functional areas: The Customer Data Management offering contains several functional areas that organise the implementation setup tasks:

Data Quality Foundation: The functional area where EDQ server configurations and match configurations are set up – the prerequisite for duplicate identification and address cleansing.

Customer Hub: The functional area where Customer Hub profile options are configured – controlling duplicate identification behaviour, merge processing, and data cleansing settings.

Hierarchy Management: The functional area where hierarchy type configurations are set up.

Data Quality Foundation prerequisites: Two specific tasks in the Data Quality Foundation functional area must be completed before duplicate identification can function: Manage Server Configurations (establishing the EDQ server connection used for matching) and Manage Enterprise Data Quality Matching Configurations (defining the match rules applied during duplicate identification). The exam tests these two tasks as the required prerequisite setup in the correct sequence – server configuration before match configuration.

Domain 2: The Trading Community Architecture Data Model

The Trading Community Architecture (TCA) is Oracle’s foundational customer data model – the schema that stores all customer entities in Oracle Cloud CX applications. Understanding TCA at the entity level is required for CDM Cloud implementation because CDM’s deduplication, merge, and hierarchy management operations all work against TCA objects.

Party: The top-level TCA entity representing any external actor – an Organisation (a company), a Person (an individual), or a Group. Every account, contact, and supplier in Oracle Cloud is represented as a Party in TCA.

Account: The sales relationship entity – representing the commercial relationship between the organisation and a Party. Account records carry sales-specific attributes (territory, industry, revenue, account owner) that the Party record does not.

Contact: A Person party with a relationship to an Organisation party – representing an individual who works for or is associated with a company. Contacts are the people that sales representatives engage with within an Account.

Address (Location + Party Site): In TCA, a physical address is stored as a Location (the address attributes) linked to a Party via a Party Site (the relationship that associates the address with the party and records the site’s usage type – Ship To, Bill To, Sold To).

Party relationships: TCA stores relationships between parties – an Organisation can have a parent-subsidiary relationship with another Organisation, a Person can be a Contact Of an Organisation, a Person can be the primary contact of an Account. Party relationships are the mechanism for corporate hierarchy and contact-account associations.

The exam tests TCA entities as the foundation that CDM Cloud operates against – merge operations merge Party records, hierarchy management manages Party relationships, and address cleansing cleanses Location records.

Domain 3: Data Quality Configuration

Duplicate identification – real-time vs. batch:

Real-time duplicate identification checks for existing duplicates at the moment a new account or contact record is created or updated. If the system finds potential duplicates above the match score threshold, it presents them to the user before the record is saved – allowing the user to decide whether to proceed with the new record or link to an existing one.

Batch duplicate identification runs across the existing customer registry on a scheduled basis – identifying pairs or groups of existing records that may represent the same entity. Batch results populate the Duplicate Identification Work Area for Data Steward review.

EDQ match configurations: An EDQ matching configuration defines the comparison logic for one matching scenario – for example, Organisation Duplicate Identification uses a different match configuration than Person Duplicate Identification, because organisations are matched on company name and address while persons are matched on first name, last name, date of birth, and address. Each match configuration specifies: the attributes used for comparison, the match algorithm for each attribute (exact, fuzzy, phonetic), and the scoring weights that combine individual attribute scores into a total match score.

Address cleansing configuration: Address cleansing standardises address data – reformatting street addresses to postal service conventions, validating that the address components (city, state, postal code) are internally consistent, and correcting obvious errors (transposed digits in a zip code). Address cleansing can be configured to run real-time (validating each address as it is entered) or in batch mode (cleansing existing address records in the registry). The exam tests address cleansing configuration as separate from matching configuration – they are two distinct EDQ service configurations.

Domain 4: Duplicate Identification Work Area

The Duplicate Identification Work Area is the CDM Cloud interface where data stewards review the results of batch duplicate identification runs and decide how to handle each identified pair or group.

Duplicate groups: Batch duplicate identification produces groups of records identified as potential duplicates – a group might contain two, three, or more records that the matching algorithm scored above the threshold for the same entity. Data stewards review each group, examine the records’ attributes, and determine the relationship between them.

Data steward actions on duplicate groups:

Link: The records are related but represent distinct entities – they should not be merged. Linking creates a relationship between the records (one is a known-related party of the other) without merging them.

Merge: The records are confirmed duplicates – one should be merged into the other, with the duplicate absorbed into the master.

Not a Duplicate: The records were incorrectly flagged – they represent different entities and should be dismissed from the duplicate group.

Domain 5: Duplicate Resolution and Merge

Merge request workflow: When data stewards or authorised business users decide to merge duplicate records, they submit a merge request – selecting the master record (the survivor) and the duplicate record (to be absorbed). The merge request enters a processing queue.

User Merge Requests profile option: This Customer Hub profile option controls whether merge requests from non-administrator users are automatically processed (subject to approval workflow) or whether all merge requests require Data Steward processing. Setting this option to “Process Subject to Approval” routes user-submitted merge requests through an approval workflow before execution. Without this setting correctly configured, user merge requests will error rather than execute. The exam tests this profile option as the specific configuration that enables user-initiated merges to complete successfully.

Master record selection: The master record is the surviving record after the merge – it retains its Party Number, all the master record’s non-null attribute values, and inherits all transaction history associated with the duplicate record. The duplicate record is either deleted or deactivated depending on configuration. The exam tests master record selection as a data steward decision – the record with more complete data, the older record (more transaction history), or the record from the authoritative source system is typically selected as master.

Address mapping during merge: When merging two records that each have associated addresses, the merge process presents address mapping options – the data steward chooses whether to create the duplicate’s addresses as additional addresses on the master record, or to merge the duplicate’s addresses into matching master addresses where they represent the same physical location. The exam tests address mapping as a required step in the merge workflow for accounts with multiple sites.

Restricting merges for specific party usages: CDM Cloud can be configured to prevent merges involving parties with specific active party usages – for example, preventing a Person party with the HR_APPLICANT usage from being merged, because merging an active job applicant’s record could corrupt the recruiting workflow. The exam tests party usage restrictions as a configurable merge governance rule.

Domain 6: Hierarchy Management

Hierarchy types: CDM Cloud supports configuring different hierarchy types for different organisational relationship purposes – a corporate ownership hierarchy (capturing which organisation is the parent company), a sales territory hierarchy (capturing how accounts are grouped for territory assignment), or a service delivery hierarchy (capturing how accounts are organised for service coverage). Each hierarchy type defines which party types can participate and what the valid relationship types are within the hierarchy.

Hierarchy management use cases: The corporate hierarchy captured in CDM Cloud’s Hierarchy Management allows Oracle Cloud applications to process transactions in the context of the corporate family – applying credit limits across all subsidiaries of a parent, aggregating revenue for a parent account across all its subsidiaries, or routing payments from a subsidiary to the parent’s account. The exam tests hierarchy management as the mechanism for capturing real-world corporate ownership structures that drive cross-account business logic.

Domain 7: Data Enrichment and Source System Management

Data enrichment: CDM Cloud supports integration with third-party data providers (such as Dun & Bradstreet) to enrich account records with additional information – industry codes (SIC/NAICS), employee counts, revenue estimates, corporate hierarchy data, and firmographic attributes. Enrichment supplements sparse internal data with externally sourced information, improving the completeness of the customer master for segmentation, scoring, and analytics.

Source system management: Organisations typically receive customer data from multiple source systems – a legacy ERP, a regional CRM, a partner portal, and the primary Oracle Cloud CX application. CDM Cloud’s source system management tracks which system is the authoritative source for each customer record, mapping external source system identifiers to Oracle Cloud Party Numbers. Source system mapping ensures that data imported from external systems is matched to the correct Oracle Cloud party rather than creating duplicate records, and that the correct party record is returned when external systems query by their own identifier.

5 Study Tips for Oracle 1Z0-1063-26

• Study the Data Quality Foundation prerequisite sequence: Manage Server Configurations must be completed before Manage Enterprise Data Quality Matching Configurations – and both must be done before duplicate identification can function.
• Study the User Merge Requests profile option as the specific configuration that enables user-submitted merge requests to process successfully – know that without it set to “Process Subject to Approval,” user merge requests will error.
• Study the TCA data model entity types (Party, Account, Contact, Location/Party Site, Party Relationship) and understand what each entity stores – CDM operations (merge, hierarchy, address cleansing) work against specific TCA entities.
• Study the three data steward actions on duplicate groups (Link, Merge, Not a Duplicate) and the specific scenario that calls for each – Link for related-but-distinct entities, Merge for confirmed duplicates, Not a Duplicate for false positives.
• Practice with Cert Empire’s 1Z0-1063-26 exam questions covering all seven domain areas at EDQ prerequisite setup sequence, merge request governance, TCA data model, and hierarchy management depth.

Best Study Resources

• Cert Empire 1Z0-1063-26 exam questions PDF and practice simulator (October 2026 edition).
• Oracle official 1Z0-1063-26 exam page (education.oracle.com – search “1Z0-1063-26”).
• Oracle Customer Data Management Cloud documentation (docs.oracle.com/en/cloud/saas/customer-data-management/).
• Oracle Implementing Customer Data Management guide (docs.oracle.com).
• Oracle University: Implementing Oracle Customer Data Management Cloud Service course.

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Every solution in our 1Z0-1063-26 question bank links directly to the relevant official Oracle documentation – the Customer Data Management implementation guide or the specific Oracle CDM Cloud documentation behind the answer.

Deep Knowledge – Every Answer, Every Option, Fully Explained

Every 1Z0-1063-26 question includes a complete explanation covering not just why the correct prerequisite sequence, profile option, or merge action is right, but precisely why each incorrect option fails – whether it attempts to configure match configurations before server configurations, applies “Link” where “Merge” is the confirmed duplicate action, or misidentifies the Location entity where the Party Site relationship is the correctly addressed TCA object. Each explanation references the specific Oracle CDM Cloud documentation behind the answer.

Interactive Practice Simulator – Think Like the Exam

Our simulator presents Oracle CDM Cloud implementation scenarios exactly as the real 1Z0-1063-26 exam does – describing a data quality requirement, a merge governance problem, or a hierarchy configuration need and testing which CDM Cloud configuration object, prerequisite step, or merge workflow action correctly addresses it. Per-question feedback explains the full customer data management reasoning behind every correct and incorrect option.

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FAQ’s

What is the Oracle 1Z0-1063-26 certification?

1Z0-1063-26 is the Oracle Customer Data Management Cloud Service 2026 Implementation Professional exam. It validates expertise in implementing Oracle CDM Cloud – covering the CDM offering setup, data quality configuration (EDQ matching and address cleansing), duplicate identification, duplicate resolution and merge, hierarchy management, data enrichment, and TCA data model knowledge.

What is Oracle Enterprise Data Quality (EDQ) and how does it relate to CDM Cloud?

Oracle Enterprise Data Quality is a data quality engine embedded in the CDM Cloud offering that performs the matching algorithms used for duplicate identification and address cleansing. CDM Cloud calls EDQ services during real-time record creation (to check for existing duplicates) and during batch processing (to identify duplicates in the existing registry). Implementing CDM Cloud requires setting up the EDQ server connection and match configurations in Setup and Maintenance.

What are the two required prerequisite tasks before duplicate identification can function?

The two prerequisites, in order, are: Manage Server Configurations (establishing the EDQ server connection) and Manage Enterprise Data Quality Matching Configurations (defining the match rules for organisation and person matching). Server configuration must be completed before match configuration can reference it.

What is the User Merge Requests profile option in Customer Hub?

This profile option controls whether merge requests submitted by business users (non-administrators) are processed subject to approval workflow or whether they require Data Steward intervention. Setting it to “Process Subject to Approval” enables user merge requests to flow through an approval process and complete. Without this setting, user merge requests will error during processing.

What are the three data steward actions on a duplicate group?

Merge (the records are confirmed duplicates – one becomes the master, the other is absorbed), Link (the records are related but distinct entities – they should be associated but not merged), and Not a Duplicate (the records were incorrectly flagged by the matching algorithm and represent different entities).

What is Hierarchy Management in CDM Cloud?

Hierarchy Management captures the corporate family relationships between organisation parties – parent companies, subsidiaries, branches, and affiliates. This corporate hierarchy information is used by Oracle Cloud applications to process cross-subsidiary credit limits, aggregate revenue reporting, and route financial transactions within the corporate family.

What is the passing score for the 1Z0-1063-26 exam?

The passing score is 68%. The exam is multiple-choice format delivered through Pearson VUE either online-proctored or at a test centre. The cost is USD $245.

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