Master Iceberg's vocabulary — snapshot model, manifest hierarchy, time travel queries, and write strategies.
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At standup, a junior data engineer asks what an Iceberg snapshot is. What is correct?
An Iceberg snapshot is a lightweight, immutable pointer to the table's state at a specific moment. It contains a snapshot-id, a reference to a manifest list, and metadata like the operation type and summary statistics. New snapshots are appended on every write — no data is copied — making time travel and rollback efficient.
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In a PR review, a teammate asks to clarify the difference between a manifest list and a manifest file. What is correct?
Iceberg has a two-level metadata indirection: a manifest list (one per snapshot) lists all manifest files for that snapshot. Each manifest file lists a subset of the table's data files (Parquet/ORC/Avro) along with partition values and column-level min/max statistics. Query engines use the statistics for partition pruning and predicate pushdown without reading data files.
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An incident requires querying data as it was yesterday. How do you perform a time travel query in Spark with Iceberg?
Iceberg supports time travel natively in Spark SQL via two syntaxes: AS OF TIMESTAMP 'timestamp' for timestamp-based travel, and VERSION AS OF snapshot_id for snapshot-based travel. No restore or data copy is needed — Iceberg resolves the historical snapshot from its metadata chain and reads the corresponding data files.
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During a design review on write performance, the team debates copy-on-write vs merge-on-read. What is correct?
Copy-on-write (CoW): updates and deletes rewrite the affected Parquet files immediately, so reads are fast (no merging needed) but writes are expensive. Merge-on-read (MoR): writes produce small delete files (equality or positional deletes) that are cheap to write, but reads must merge the base files with delete files at query time. The trade-off is write vs. read amplification.
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In a code review, a teammate removes the Iceberg catalog configuration. What role does a catalog play?
The catalog is essential for table discovery and current-snapshot tracking. It maintains the authoritative mapping: table name → current metadata.json location. When a write commits, the catalog atomically updates this pointer to the new metadata file. Without a catalog, multiple engines cannot safely discover or concurrently update Iceberg tables.
What does the "Apache Iceberg Table Format Vocabulary" vocabulary exercise cover?
This exercise tests real IT vocabulary related to apache iceberg table format vocabulary through 5 multiple-choice questions, each built from realistic workplace sentences rather than abstract definitions.
Is this vocabulary exercise free to use?
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How many questions does this exercise have?
This exercise has 5 questions. Each one shows a real-world sentence or scenario with multiple-choice options and an explanation once you answer.
What happens after I answer a question?
You'll see immediate feedback showing whether your answer was correct, along with a short explanation of why — then a button to move to the next question, and a full results screen at the end.
Can I retry the exercise if I get questions wrong?
Yes. Once you reach the results screen, click "Try again" to reset your answers and go through the exercise from the start as many times as you like.
Do I need to create an account to take this exercise?
No account is needed. Your answers are scored in your browser during the session — nothing is saved to a server, so you can jump straight in.
Is my progress saved if I leave the page?
No — progress within an exercise resets if you navigate away or reload. Each exercise is short enough to complete in a few minutes in one sitting.
Are these vocabulary exercises connected to other topics?
Yes — browse the full vocabulary exercises hub to find related modules covering adjacent IT topics and roles.
How is this different from reading a glossary or blog article?
Exercises like this one are active recall drills — you have to choose the correct term or phrasing yourself, which builds retention faster than passively reading a definition.
Where can I find more vocabulary exercises?
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