Assess knowledge of lakehouse architectures, Delta tables, and orchestration patterns feeding MMM.
Lakehouse unifies data warehouse and lake by storing files in open formats like ______.
HTML
Parquet
JPEG
CSV
Delta Lake provides ACID transactions via ______ logs.
dns
cookie
transaction
pixel
Medallion architecture stages data as Bronze (raw), Silver (clean), and ______.
Platinum
Iron
Lead
Gold
Streaming inserts with exactly‑once semantics ensure spend feeds for MMM remain ______ consistent.
dirty
read‑uncommitted
append‑only
eventual
Lakehouse query engines like DuckDB allow analysts to run SQL directly on ______ files.
ico
Parquet
docx
mp3
2025 Databricks Lakehouse Federation lets MMM read Snowflake tables via ______ layer.
CSV export
ODBC DSN
FTP
Unity Catalog
Partitioning by week and channel optimises scan for MMM, reducing ______ IO.
disk
cookie
dns
font
Snapshot tables with slowly changing dimensions track retro changes like ______ recoding.
CDN
pixel
UTM
SSL
Airflow DAGs orchestrate daily ingestion; task failure alerts via ______ notify data team.
dns
CRT
Slack
cookie
Lakehouse design keeps raw logs immutable; transformations create new versions enabling ______ rollback.
pixel
time‑travel
cookie
ttl
Starter
Review the basics.
Solid
Nice work—refine the details.
Expert!
Exceptional command of the topic.
Preparing for Data Lakehouse Feeds Interview Questions is all about understanding how modern data pipelines power effective marketing analysis. Start by diving into these marketing mix modelling interview questions to see how attribution strategies tie into your data flows. Next, test your dashboard savvy with the MMM dashboard must-haves MCQs and explore integrated channel effects through the cross-channel synergies practice questions. Finally, sharpen your detection skills by checking out the negative ROI channel detection interview resources.
