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Databricks Certified-Data-Engineer-Professional 考試大綱主題:

最新的 Databricks Certification Certified-Data-Engineer-Professional 免費考試真題：

1. Which Python variable contains a list of directories to be searched when trying to locate required modules?

A) sys.path
B) os.path
C) pylib.source
D) pypi.path
E) importlib.resource path

2. A small company based in the United States has recently contracted a consulting firm in India to implement several new data engineering pipelines to power artificial intelligence applications. All the company's data is stored in regional cloud storage in the United States.
The workspace administrator at the company is uncertain about where the Databricks workspace used by the contractors should be deployed.
Assuming that all data governance considerations are accounted for, which statement accurately informs this decision?

A) Cross-region reads and writes can incur significant costs and latency; whenever possible, compute should be deployed in the same region the data is stored.
B) Databricks runs HDFS on cloud volume storage; as such, cloud virtual machines must be deployed in the region where the data is stored.
C) Databricks notebooks send all executable code from the user's browser to virtual machines over the open internet; whenever possible, choosing a workspace region near the end users is the most secure.
D) Databricks leverages user workstations as the driver during interactive development; as such, users should always use a workspace deployed in a region they are physically near.
E) Databricks workspaces do not rely on any regional infrastructure; as such, the decision should be made based upon what is most convenient for the workspace administrator.

3. Which approach demonstrates a modular and testable way to use DataFrame transform for ETL code in PySpark?

A)

B)

C)

D)

4. A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing. How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?

A) Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.
B) Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
C) Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
D) Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.

5. A data engineer wants to join a stream of advertisement impressions (when an ad was shown) with another stream of user clicks on advertisements to correlate when impressions led to monetizable clicks.
In the code below, Impressions is a streaming DataFrame with a watermark ("event_time", "10 minutes")

The data engineer notices the query slowing down significantly.
Which solution would improve the performance?

A) Joining on event time constraint: clickTime + 3 hours < impressionTime - 2 hours
B) Joining on event time constraint: clickTime >= impressionTime AND clickTime <= impressionTime interval 1 hour
C) Joining on event time constraint: clickTime == impressionTime using a leftOuter join
D) Joining on event time constraint: clickTime >= impressionTime - interval 3 hours and removing watermarks

問題與答案：