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Which statement best describes skill normalization in a skills-based strategy?. It stores duplicate skills separately to preserve worker-entered wording. It aligns similar skill terms into a standardized skill framework. It limits skills to those manually approved by administrators only. It converts skill ratings into compensation grades automatically.

What is the main purpose of matching an external skill to a Skills Cloud skill?. To replace all worker-entered skills with external skill values. To prevent external data from being used in reporting outputs. To allow external skill data to support Skills Cloud use cases. To ensure all external skills remain separate from Workday skills.

What is a key benefit of ML-assisted external skill to Skills Cloud skill matching?. It removes the need for any review of imported skills. It improves matching efficiency across large external skill datasets. It guarantees all imported skills receive a one-to-one exact match. It limits matching to worker profile skills only.

Why are integrations important in a skills ecosystem?. They allow skills to be stored only in external systems. They connect Workday with other sources of skill information. They remove the need for Skills Cloud configuration. They replace business processes with direct background updates.

Which capability enables loading external skills onto objects in Workday?. A web service designed to import external skill data. A standard business process used only for compensation events. A profile header card configuration task. A sequence generator for skill reference IDs.

Why is external skill matching important for skills-based ML applications?. Because ML applications require all skills to remain external. Because matched skills can be used consistently across ML scenarios. Because ML applications can only read manually entered worker skills. Because skill matching is required only for job requisitions.

What does it mean to include tenanted skills in matching?. Only Workday-delivered skills are considered during matching. Customer-defined skills can also participate in the matching model. Tenanted skills are excluded from external integrations. Skills are matched only if they come from an official partner.

How do official Workday software partnerships help organizations scale skills management?. They eliminate the need for skill sources such as feedback or projects. They provide pre-mapped ontologies and pre-built integrations. They require each customer to define every skill mapping manually. They prevent customers from using tenanted skills in matching.

Why would a customer benefit from diverse partnerships for varied skills needs?. Because one external provider covers all industries equally well. Because different partnerships can support different skill domains. Because partnerships remove the need for skill normalization. Because multiple partnerships always use the same ontology.

What is the purpose of automated background processes in skills management?. To prevent workers from acquiring new skills over time. To maintain and tidy skill data in the tenant regularly. To delete all unmatched skills after each integration run. To convert skills directly into worker compensation amounts.

Which of the following is the best description of skills sources?. The set of transactions used to assign security groups to workers. The channels through which workers gain or demonstrate skills. The list of countries that support external skill import. The standard reports used to reorder worker profile tabs.

Which of the following are examples of skills sources? (Select three.). Feedback. Job history. Involvement in projects. Accent color settings.

What is the most likely outcome when external skills are not matched to Skills Cloud skills?. External skills can support standardized skills ML use cases less effectively. External skills automatically become Workday-delivered skills. Tenanted skills are removed from the tenant. Worker profiles can no longer display any skills at all.

What is a major advantage of using an official, turnkey Workday software partnership?. It guarantees that no customer review is ever required. It offers pre-built integrations and mapped ontologies. It removes all tenanted skills from the matching process. It limits skill data to job history only.

Why is skill normalization useful for reporting and analytics?. It allows the same skill to appear under many unrelated labels. It improves consistency when analyzing skills across workers and jobs. It removes all imported skills from analytic outputs. It restricts reporting to manually maintained skill records only.

Which approach best supports skills matching at scale?. Manual mapping of every external skill without reuse. ML-assisted matching supported by partnerships and normalized skills. Restricting all skill sources to job history only. Using only worker-entered free text with no standardization.

A customer wants external skills to be loaded onto Workday objects and then reused in skills-based use cases. Which combination best supports this goal? (Select two.). A web service for loading external skills. External skill to Skills Cloud skill matching. Disabling tenanted skills in matching. Removing background skills processes.

Which statement best reflects an effective long-term skills strategy?. Skills should be loaded once and then left unchanged. Skills should rely only on worker self-entry and no other sources. Skills should be maintained using automation and multiple evidence sources. Skills should be limited to qualifications such as degrees and past roles.