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Cert++

Resource Pack
ยทStudy Checklist

Data Cloud Consultant

Study Progress
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Identify typical use cases for Data Cloud. 0/6

Articulate how Data Cloud works and its dependencies. 0/8

Describe and apply the principles of data ethics. 0/11

Apply Data Cloud permissions, permission sets, and org-wide settings. 0/7

Describe and configure the available data stream types and data bundles. 0/13

Identify use cases for data spaces and create data spaces based on requirements. 0/5

Manage and administer Data Cloud using reports, dashboards, flows, packaging, and data kits. 0/8

Diagnose and explore data using Data Explorer, Profile Explorer, and APIs. 0/7

Identify the different transformation capabilities within Data Cloud. 0/8

Describe processes and considerations for data ingestion from different sources into Data Cloud. 0/13

Define, map, and model data using best practices and aligning to requirements for identity resolution. 0/19

Use available tools to inspect and validate ingested and modeled data. 0/6

Describe matching and how its rule sets are applied. 0/13

Reconcile data and describe how its rule sets are applied. 0/7

Describe the results of identify resolution and use cases. 0/9

Define basic concepts of segmentation and use cases. 0/9

Identify scenarios for analyzing segment membership. 0/5

Configure, refine, and maintain segments within Data Cloud. 0/11

Identify and differentiate between calculated and streaming insights. 0/11

Define activations and their basic use cases. 0/8

Use attributes and related attributes. 0/6

Identify and analyze timing dependencies affecting the Data Cloud lifecycle. 0/7

Troubleshoot common problems with activations including accepted/rejected counts, errors, and not seeing related attributes. 0/7

Use data actions and identify their requirements and intended use cases. 0/11