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NEW QUESTION # 75
A data engineer is configuring a pipeline that will potentially see late-arriving, duplicate records.
In addition to de-duplicating records within the batch, which of the following approaches allows the data engineer to deduplicate data against previously processed records as it is inserted into a Delta table?
Answer: A
Explanation:
Explanation
To deduplicate data against previously processed records as it is inserted into a Delta table, you can use the merge operation with an insert-only clause. This allows you to insert new records that do not match any existing records based on a unique key, while ignoring duplicate records that match existing records. For example, you can use the following syntax:
MERGE INTO target_table USING source_table ON target_table.unique_key = source_table.unique_key WHEN NOT MATCHED THEN INSERT * This will insert only the records from the source table that have a unique key that is not present in the target table, and skip the records that have a matching key. This way, you can avoid inserting duplicate records into the Delta table.
References:
https://docs.databricks.com/delta/delta-update.html#upsert-into-a-table-using-merge
https://docs.databricks.com/delta/delta-update.html#insert-only-merge
NEW QUESTION # 76
A junior data engineer has ingested a JSON file into a table raw_table with the following schema:
1. cart_id STRING,
2. items ARRAY<item_id:STRING>
The junior data engineer would like to unnest the items column in raw_table to result in a new table with the
following schema:
1.cart_id STRING,
2.item_id STRING
Which of the following commands should the junior data engineer run to complete this task?
Answer: E
NEW QUESTION # 77
Which statement describes the default execution mode for Databricks Auto Loader?
Answer: C
Explanation:
Databricks Auto Loader simplifies and automates the process of loading data into Delta Lake. The default execution mode of the Auto Loader identifies new files by listing the input directory. It incrementally and idempotently loads these new files into the target Delta Lake table. This approach ensures that files are not missed and are processed exactly once, avoiding data duplication. The other options describe different mechanisms or integrations that are not part of the default behavior of the Auto Loader.
References:
* Databricks Auto Loader Documentation: Auto Loader Guide
* Delta Lake and Auto Loader: Delta Lake Integration
NEW QUESTION # 78
A data engineer wants to create a cluster using the Databricks CLI for a big ETL pipeline. The cluster should havefive workers,one driverof type i3.xlarge, and should use the '14.3.x-scala2.12' runtime.
Which command should the data engineer use?
Answer: D
Explanation:
Comprehensive and Detailed In-Depth Explanation:
TheDatabricks CLIallows users to manage clusters using command-line commands. The correct command for creating a cluster follows a specific format.
Key Components in the Command:
* Command Type:databricks compute create is the correct syntax for creating a new compute resource (cluster).
* Runtime Version:'14.3.x-scala2.12' specifies the Databricks runtime to use.
* Workers:--num-workers 5 sets the number of worker nodes to 5.
* Node Type:--node-type-id i3.xlarge defines the hardware configuration.
* Cluster Name:--cluster-name DataEngineer_cluster assigns a recognizable name to the cluster.
Evaluation of Options:
* Option A (databricks clusters create ...)
* Incorrect:databricks clusters createis not a valid commandin the Databricks CLI v0.205.
* The correct CLI command for cluster creation is databricks compute create.
* Option B (databricks clusters add ...)
* Incorrect:databricks clusters addis not a valid CLI command.
* Option C (databricks compute add ...)
* Incorrect:databricks compute addis not a valid CLI command.
* Option D (databricks compute create ...)
* Correct:databricks compute create is the correct command for creating a cluster.
Conclusion:
The correct command to create a cluster with five workers, an i3.xlarge node type, and Databricks runtime
14.3.x-scala2.12 is:
databricks compute create 14.3.x-scala2.12 --num-workers 5 --node-type-id i3.xlarge --cluster-name Data Engineer_cluster Thus, the correct answer isD.
References:
* Databricks CLI Documentation
NEW QUESTION # 79
You are currently working on a project that requires the use of SQL and Python in a given note-book, what would be your approach
Answer: A
Explanation:
Explanation
The answer is, A single notebook can support multiple languages, use the magic command to switch between the two.
Use %sql and %python magic commands within the same notebook
NEW QUESTION # 80
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