DP-700 · Question #58
Which of the following actions would be most likely to resolve this error ?
The correct answer is A. Identify and remove duplicate keys from the dataset that contains the duplicates. The most likely action to resolve an error stemming from duplicate keys in a dataset is to identify and remove those duplicates, ensuring data integrity.
Question
Options
- AIdentify and remove duplicate keys from the dataset that contains the duplicates.
- BUse a different join type that is more tolerant of duplicate keys.
- CIncrease the number of partitions in the dataset to improve data distribution.
- DRestart the Databricks cluster to refresh the environment.
How the community answered
(22 responses)- A68% (15)
- B5% (1)
- C9% (2)
- D18% (4)
Why each option
The most likely action to resolve an error stemming from duplicate keys in a dataset is to identify and remove those duplicates, ensuring data integrity.
Errors caused by "duplicate keys" typically arise when an operation, such as a join, an upsert, or an attempt to enforce uniqueness, encounters multiple identical keys where only one is expected. Identifying and removing these duplicate keys from the problematic dataset directly resolves the root cause of such errors, ensuring data integrity for subsequent operations.
While changing a join type might alter the outcome in the presence of duplicates, it often masks the underlying data quality issue rather than resolving the core problem of having duplicate keys.
Increasing partitions primarily addresses performance and data skew issues, not logical errors caused by duplicate keys in the data itself.
Restarting a cluster is a general troubleshooting step for transient issues or environment refreshes, and it does not resolve data-specific errors like duplicate keys.
Concept tested: Data quality-duplicate key resolution
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