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| Exam Code: | Databricks-Certified-Professional-Data-Engineer |
| Exam Name: | Databricks Certified Professional Data Engineer Exam |
| Certification Provider: | Databricks |
| Free Question Number: | 60 |
| Version: | v2024-09-23 |
| Rating: | |
| # of views: | 463 |
| # of Questions views: | 10932 |
| Go To Databricks-Certified-Professional-Data-Engineer Questions | |
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No.# What is a method of installing a Python package scoped at the notebook level to all nodes in the currently active cluster?
A. Use &Pip install in a notebook cell
B. Run source env/bin/activate in a notebook setup script
C. Install libraries from PyPi using the cluster UI
D. Use &sh install in a notebook cell
this also seems not correcct `A' is correct instead C
No.# An upstream system is emitting change data capture (CDC) logs that are being written to a cloud object storage directory. Each record in the log indicates the change type (insert, update, or delete) and the values for each field after the change. The source table has a primary key identified by the field pk_id.
For auditing purposes, the data governance team wishes to maintain a full record of all values that have ever been valid in the source system. For analytical purposes, only the most recent value for each record needs to be recorded. The Databricks job to ingest these records occurs once per hour, but each individual record may have changed multiple times over the course of an hour.
Which solution meets these requirements?
A. Create a separate history table for each pk_id resolve the current state of the table by running a union all filtering the history tables for the most recent state.
B. Use merge into to insert, update, or delete the most recent entry for each pk_id into a bronze table, then propagate all changes throughout the system.
C. Iterate through an ordered set of changes to the table, applying each in turn; rely on Delta Lake's versioning ability to create an audit log.
D. Use Delta Lake's change data feed to automatically process CDC data from an external system, propagating all changes to all dependent tables in the Lakehouse.
E. Ingest all log information into a bronze table; use merge into to insert, update, or delete the most recent entry for each pk_id into a silver table to recreate the current table state.
Answer shown in website seems wrong correct answer seems e not b...
No.# Which distribution does Databricks support for installing custom Python code packages?
A. Wheels
B. CRAN
C. CRAM
D. sbt
E. nom
F. jars
answer is not correct
No.# Which statement characterizes the general programming model used by Spark Structured Streaming?
A. Structured Streaming leverages the parallel processing of GPUs to achieve highly parallel data throughput.
B. Structured Streaming is implemented as a messaging bus and is derived from Apache Kafka.
C. Structured Streaming uses specialized hardware and I/O streams to achieve sub-second latency for data transfer.
D. Structured Streaming models new data arriving in a data stream as new rows appended to an unbounded table.
E. Structured Streaming relies on a distributed network of nodes that hold incremental state values for cached stages.
Answer seems wrong need to correct for this
Half time, Double results. very good. like it. I like the soft version. very simple. easy to learn