Candidates walk into Analytics-Con-201 expecting a dashboard exam and meet recipes, security predicates and Model Cards. The six sections, their weights, what Salesforce confirms in public and a preparation order that follows the data.
Most Cloudera exams test one role. CDP-0011 asks every candidate the same 60 questions about the whole platform, from deployments and SDX governance to the five data services. Here is how the five domains are weighted, why Cloudera now publishes a 60 percent pass mark, how Questionmark proctoring works, and when to take the Generalist before a role exam.
Prompts and plugins hold 40 percent of LLM-ACA while fine-tuning holds 12. Here is how the seven weighted sections, the 80 point pass mark and the two sibling exams fit together.
Writing the program is half the job on this paper. The largest slice of the blueprint goes to checking it, with PROC COMPARE, the log and a second program.
A conceptual credential at one end, a professional one at the other, and most of the people actually doing the work sitting in the gap between them. This is the rung Google added to close it.
Ten of the concepts named in the first domain belong to the cloud provider rather than to Cloudera, which is why an experienced on-premises administrator can walk into this paper and find a fifth of it unfamiliar. Here is how the four domains divide, and which half of the exam your background already covers.
Six domains, none of them weighted above 20 percent, and a 70 percent bar that leaves very little slack. Data-Con-101 rewards candidates who read the syllabus as one pipeline rather than six topics, and it punishes anyone who treats harmonisation and unification as the same step.
Four domains, and their weightings rise as the data moves along the pipeline. Getting it into Snowflake is the smallest slice of the paper at 17 percent, while building and governing the dashboard at the end of it is worth 28.
Move to a managed service and half the Kafka operator job disappears. CCAC is about the other half: cluster design, static against dynamic change, schema governance, connectors and what happens when a region fails. Seven sections, almost flat weights, and no published objectives beneath them.
Most study notes for this credential describe a definitions quiz. The published objectives describe multi-agent patterns, context engineering and grounding, and 52 percent of the paper is foundation models.
