Databricks Certification Databricks-Certified-Data-Engineer-Professional

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

1. The following table consists of items found in user carts within an e-commerce website.

The following MERGE statement is used to update this table using an updates view, with schema evolution enabled on this table.

How would the following update be handled?

A) The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
B) The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
C) The update throws an error because changes to existing columns in the target schema are not supported.
D) The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.

2. A query is taking too long to run. After investigating the Spark UI, the data engineer discovered a significant amount of disk spill. The compute instance being used has a core-to-memory ratio of
1:2. What are the two steps the data engineer should take to minimize spillage? (Choose two.)

A) Choose a compute instance with more network bandwidth.
B) Choose a compute instance with more disk space.
C) Choose a compute instance with a higher core-to-memory ratio.
D) Reduce spark.sql.files.maxPartitionBytes.
E) Increase spark.sql.files.maxPartitionBytes.

3. A new data engineer notices that a critical field was omitted from an application that writes its Kafka source to Delta Lake. This happened even though the critical field was in the Kafka source.
That field was further missing from data written to dependent, long-term storage. The retention threshold on the Kafka service is seven days. The pipeline has been in production for three months.
Which describes how Delta Lake can help to avoid data loss of this nature in the future?

A) The Delta log and Structured Streaming checkpoints record the full history of the Kafka producer.
B) Ingestine all raw data and metadata from Kafka to a bronze Delta table creates a permanent, replayable history of the data state.
C) Delta Lake automatically checks that all fields present in the source data are included in the ingestion layer.
D) Delta Lake schema evolution can retroactively calculate the correct value for newly added fields, as long as the data was in the original source.
E) Data can never be permanently dropped or deleted from Delta Lake, so data loss is not possible under any circumstance.

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

5. A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.
The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

A) Yes; Delta Lake supports infinite concurrent writers.
B) No; only one stream can write to a Delta Lake table.
C) No; each of the streams needs to have its own checkpoint directory.
D) No; Delta Lake manages streaming checkpoints in the transaction log.
E) Yes; both of the streams can share a single checkpoint directory.

問題與答案：