Free Oracle 1Z0-1063-20 Exam Practice Questions & Explanations
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An implementation team wants addresses entered by users to be corrected and standardized against postal reference data, and to have each address assigned a validation status such as Valid or Partially Valid. They plan to enable address cleansing in Customer Data Management.
Statement: Real-time address cleansing and verification require a separate Oracle Address Verification Cloud Service (third-party data service) subscription, and the cleansing level must be enabled through the address cleansing profile option/service configuration before users see the Verify Address action.
True. Address cleansing and verification in Oracle Customer Data Management rely on an integrated data quality/address verification cloud service that must be subscribed to and configured (service endpoint, credentials) before use. In addition, the cleansing level must be enabled - for example by setting the address cleansing profile option to a level such as Optional or Mandatory (or None to disable it) - after which the Verify Address action and returned address validation statuses become available to users. Simply installing the application does not activate address verification.
A data steward has run the Duplicate Identification batch job over the Accounts registry using a saved search that returns about 20,000 organizations. After the job completes, the steward opens Duplicate Resolution and cannot find any merge requests, although the job log shows duplicate sets were created.
What is the most likely explanation?
Batch duplicate identification evaluates the parties returned by the selected saved search and creates duplicate resolution requests/duplicate sets. Those sets sit in the Duplicate Resolution work area awaiting steward review; a merge request is created when the steward defines the master and merge action, or automatically if the automerge threshold configured in the match configuration is met.
B is wrong - duplicate sets are genuinely created. C is invented; batch jobs are designed for large volumes. D is wrong - visibility is driven by data security/work area access, not party ownership of duplicate sets.
During a design workshop, the customer asks how Oracle Customer Data Management decides that two party records are potential duplicates. They want to understand the role of the matching configuration used by the Data Quality engine.
Which two statements correctly describe the duplicate identification process?
Match configurations control which attributes participate, how values are transformed/standardized, the scores assigned, and the match (and automerge) thresholds. To keep performance acceptable, acquisition or key generation rules first narrow the population to a candidate set, and only those candidates are scored against match rules.
C is wrong because full cartesian comparison is not performed - candidate selection exists precisely to avoid it. D is wrong because duplicate identification runs both in real time (on create/update) and as a batch job. E is wrong: thresholds are configurable in the match configuration.
A data steward complains that when users create new contacts, the Contact page always defaults the country to the United States, even though the majority of records are being entered for the UK subsidiary. The implementation consultant needs to change this default behavior for all users at that site.
What should the consultant do?
Default country behaviour in Customer Data Management is controlled by a profile option (HZ_DEFAULT_COUNTRY / the default country profile), maintained through Setup and Maintenance using Manage Administrator Profile Values. Profile values can be set at Site, Product and User levels; setting it at Site applies to all users of the implementation.
B addresses only a custom attribute, not the delivered country field default. C controls address style/validation, not the default value. D is false because the profile option can be set centrally at Site level.
Your customer wants to load 50,000 new organization records along with their related contacts into Oracle Customer Data Management Cloud. The data resides in flat files exported from a legacy CRM, and the business requires that the load be scheduled, repeatable and able to report on failed rows so they can be corrected and re-submitted.
Which approach should the implementation team use?
File-Based Data Import (FBDI) is the supported bulk mechanism for Account and Contact data in Oracle CX Cloud. The CSV/ZIP file is staged in the Universal Content Management repository, an import mapping is defined, and the import activity can be scheduled and re-run; the import status page reports error rows that can be corrected and resubmitted.
B is not feasible at that volume. C is wrong: file-based import fully supports both accounts and their contacts (and relationships). D is unsupported - direct database inserts bypass TCA APIs, validation and denormalized structures, and are never permitted in SaaS.