Iceberg

Iceberg

Professional Development

11 Qs

quiz-placeholder

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Iceberg

Iceberg

Assessment

Quiz

Other

Professional Development

Medium

Created by

Navdeep Kaur

Used 1+ times

FREE Resource

11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following statements is true about Iceberg metadata management?
Iceberg metadata is stored in Hive metastore only
Iceberg requires a separate database to manage metadata
Iceberg uses manifest and metadata files for tracking snapshots and table state
Iceberg does not support schema evolution

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following storage formats is best suited for Iceberg tables?
JSON
Parquet
TXT
Avro

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Parquet considered an efficient storage format for analytical queries?
It stores data in a row-wise format
It does not support compression
It stores data in a columnar format, allowing for efficient scans and It also maintains metadata at footer level for data pruning
It can only be used with Hive

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of workload benefits the most from columnar storage formats like Parquet in Trino?
OLTP (Online Transaction Processing)
OLAP (Online Analytical Processing)
High-frequency trading
Log file storage

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do manifest files improve query performance in Trino when reading Iceberg tables?
By storing query results for reuse
By reducing the number of files read by tracking relevant data files
By compressing the entire dataset
By creating multiple copies of data files

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a key advantage of Iceberg over Hive for managing large datasets?
Iceberg supports time travel, schema evolution more efficiently
Hive performs better for analytical queries
Iceberg requires the use of Hadoop
Hive automatically optimizes table formats

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant limitation of Hive compared to Iceberg when it comes to managing metadata?
Hive stores metadata in metastore, which can become a bottleneck
Hive metadata is stored in Parquet files
Hive does not support metadata management
Iceberg requires an external metadata database

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