Looker Business Analyst

Four equally weighted domains: BI and Looker fundamentals, data modeling and LookML, Explore and visualization design, and analysis, sharing, and governance. Questions tend to be scenario-based, asking you to choose the modeling or visualization approach that best answers a business question while keeping data governed and reusable.

We could not verify question count or time limit from the permitted source, so treat any figure you see elsewhere with caution and confirm with the provider before booking. In practice, budget for a timed, proctored-style session and practice finishing scenario questions at roughly one minute each so pacing is not your limiting factor.

Neither is confirmed here. Pricing and cut scores are set by the provider and change over time, so check the official registration page on the day you book rather than relying on older blog posts. If your employer reimburses, capture the confirmed fee and any retake terms in writing before you schedule.

Retake policy was not available from the permitted source, so verify it at registration. Practically, assume a waiting period may apply and plan your first attempt when your project work is genuinely solid. Most candidates who fail report weak LookML fundamentals rather than bad luck, so diagnose by domain before rebooking.

Start with fundamentals, then LookML, then Explore and visualization design, then governance. Modeling decisions drive everything downstream: a poorly typed dimension or an ambiguous measure will surface again in every dashboard question. Governance topics such as access and sharing make most sense once you have built something worth protecting.

More than reading. Build a small end-to-end project: define views, joins, dimensions, and measures in LookML, create an Explore, then design a dashboard with clear labels and sensible filters. Add row-level access and sharing settings. Working through one real dataset exposes the join, symmetry, and aggregation traps that scenario questions target.

Confusing dimensions with measures, misjudging join relationships that fan out results, and choosing fancy visualizations where a simple table communicates better. Another frequent trap is ignoring governance: sharing dashboards without considering access controls or data freshness. Read each scenario for the business intent before picking a technical answer.

Useful SQL literacy helps you reason about joins and aggregation, but the exam focuses on the analyst role: modeling, exploring, visualizing, and sharing. Deep administrative topics such as server configuration and deployment are outside the four stated domains, so do not let them crowd out core LookML and dashboard practice.

No. This is an independent study aid written for candidates searching this exam. It is not affiliated with or endorsed by the provider, and it deliberately omits unverified logistics such as fees and time limits. Always confirm format, scheduling, and scoring on the official program page before you register or pay.