Databricks practice guide
Stay inside one business context for a few reps in a row while still working from the same live bank used across practice, tracks, and reviews.
Databricks
Explore 12 Databricks-tagged SQL scenarios focused on query basics, filtering, joins.
Context, not signal
Company labels help frame practice in a familiar business context. They are directional study aids, not official interview guidance from the companies listed.
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Questions
12
Estimated prep time
250 min
Progress tracking
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Concept focus
The most common patterns in the current Databricks-tagged set.
Query basics
10
Filtering
3
Joins
3
Aggregation
2
Date functions
1
Mix at a glance
Use the difficulty and path mix to decide whether you want fundamentals, breadth, or stretch reps.
Suggested rhythm
Start with the easiest scenario in the set, then move upward while tracking accuracy and retry speed. This keeps the context stable while the difficulty rises.
Suggested next scenarios
The next best reps from this company-tagged set based on what you have not solved yet.
Most Frequent Item Counts
Practice query basics through a Databricks-tagged business scenario.
2024 App Click Volume
Practice query basics through a Databricks-tagged business scenario.
Late Shipment Rate By Carrier
Practice query basics through a Databricks-tagged business scenario.
Question list
The current Databricks-tagged list with learning objectives and your latest status.
Most Frequent Item Counts
Databricks wants a scorecard for most frequent item counts. Return the item_count value or values with the highest order_occurrences. Sort by item_count.
Practice query basics through a Databricks-tagged business scenario.
2024 App Click Volume
Use this Databricks planning note to work on 2024 app click volume. Return each app_id and the total number of click events recorded in 2024. Sort by app_id.
Practice query basics through a Databricks-tagged business scenario.
Late Shipment Rate By Carrier
Databricks wants a trend check for late shipment rate by carrier. Return the percentage of shipments that arrived late by carrier_name. Output carrier_name a...
Practice query basics through a Databricks-tagged business scenario.
2024 App Click Volume
Use this Databricks finance summary to work on 2024 app click volume. Return each app_id and the total number of click events recorded in 2024. Sort by app_id.
Practice query basics through a Databricks-tagged business scenario.
Frequent Support Callers
At Databricks, analysts are preparing a tracking view focused on frequent support callers. Return the distinct policy_holder_id values for members who made a...
Practice query basics through a Databricks-tagged business scenario.
Creators With Multiple 2024 Posts
Databricks is reviewing creators with multiple 2024 posts through a weekly brief. Return each creator_id that posted at least two items in 2024. Sort by crea...
Practice query basics through a Databricks-tagged business scenario.
3. How do you identify records in one table that aren't in another
To discover records in one table that are not present in another, you can utilize a LEFT JOIN and filter out any NULL values in the right-side table. For exa...
Practice joins through a Databricks-tagged business scenario.
Second Customer Transaction
At Databricks, analysts are preparing a scorecard focused on second customer transaction. Return each user_id and transaction_date for the second transaction...
Practice query basics through a Databricks-tagged business scenario.
Signup Confirmation Rate
At Databricks, analysts are preparing a scorecard focused on signup confirmation rate. Calculate the confirmation rate as the percentage of signups that were...
Practice query basics through a Databricks-tagged business scenario.
1. Identifying Power Users for Databricks
As a Databricks data analyst, one of the most important tasks is identifying our power users. These are users who frequently use Databricks' tools and servic...
Practice joins through a Databricks-tagged business scenario.
Customers Buying Every Category
Databricks wants a scorecard for customers buying every category. Return each customer_id that purchased at least one product in every product_category. Sort...
Practice query basics through a Databricks-tagged business scenario.
Rolling Three-day Earnings
Databricks is reviewing rolling three-day earnings through a readout. Return each user_id, transaction_date, and rolling_3_day_earnings based on the current ...
Practice query basics through a Databricks-tagged business scenario.