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Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Ensuring Data Security and Compliance | - Compliance
|
| Topic 2: Monitoring and Alerting | - Monitoring
|
| Topic 3: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
| Topic 4: Debugging and Deploying | - Deploying CI/CD
|
| Topic 5: Data Transformation, Cleansing, and Quality | - Advanced Data Transformation
|
| Topic 6: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 7: Data Governance | - Unity Catalog Permissions
|
| Topic 8: Data Modelling | - Scalable Data Models
|
| Topic 9: Cost & Performance Optimisation | - Delta Optimization
|
| Topic 10: Data Sharing and Federation | - Lakehouse Federation
|
Databricks Certified Data Engineer Professional Sample Questions:
A data engineer needs to design an efficient pipeline that automatically processes new CSV files as they arrive in S3 storage. Which Databricks feature should the data engineer use to meet these requirements?
- A. COPY INTO SQL command with parameters to track processed files
- B. Traditional batch processing with scheduled Databricks Jobs
- C. Auto Loader with schema inference and evolution enabled
- D. Streaming from cloud storage using standard Spark readStream with format ("csv") and format ("json")
Correct Answer: C 🗳️
Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).
A data engineer is designing a system to process batch patient encounter data stored in an S3 bucket, creating a Delta table (patient_encounters) with columns encounter_id, patient_id, encounter_date, diagnosis_code, and treatment_cost. The table is queried frequently by patient_id and encounter_date, requiring fast performance. Fine-grained access controls must be enforced. The engineer wants to minimize maintenance and boost performance. How should the data engineer create the patient_encounters table?
- A. Create an external table in Unity Catalog, specifying an S3 location for the data files. Enable predictive optimization through table properties, and configure Unity Catalog permissions for access controls.
- B. Create a managed table in Unity Catalog. Configure Unity Catalog permissions for access controls, and rely on predictive optimization to enhance query performance and simplify maintenance.
- C. Create a managed table in Hive Metastore. Configure Hive Metastore permissions for access controls, and rely on predictive optimization to enhance query performance and simplify maintenance.
- D. Create a managed table in Unity Catalog. Configure Unity Catalog permissions for access controls, schedule jobs to run OPTIMIZE and VACUUM commands daily to achieve best performance.
Correct Answer: B 🗳️
Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).
The view updates represents an incremental batch of all newly ingested data to be inserted or updated in the customers table.
The following logic is used to process these records.
Which statement describes this implementation?
- A. The customers table is implemented as a Type 3 table; old values are maintained as a new column alongside the current value.
- B. The customers table is implemented as a Type 2 table; old values are overwritten and new customers are appended.
- C. The customers table is implemented as a Type 0 table; all writes are append only with no changes to existing values.
- D. The customers table is implemented as a Type 2 table; old values are maintained but marked as no longer current and new values are inserted.
- E. The customers table is implemented as a Type 1 table; old values are overwritten by new values and no history is maintained.
Correct Answer: D 🗳️
A junior data engineer has configured a workload that posts the following JSON to the Databricks REST API endpoint 2.0/jobs/create.
Assuming that all configurations and referenced resources are available, which statement describes the result of executing this workload three times?
- A. Three new jobs named "Ingest new data" will be defined in the workspace, and they will each run once daily.
- B. Three new jobs named "Ingest new data" will be defined in the workspace, but no jobs will be executed.
- C. One new job named "Ingest new data" will be defined in the workspace, but it will not be executed.
- D. The logic defined in the referenced notebook will be executed three times on new clusters with the configurations of the provided cluster ID.
- E. The logic defined in the referenced notebook will be executed three times on the referenced existing all purpose cluster.
Correct Answer: B 🗳️
Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).
What is the first line of a Databricks Python notebook when viewed in a text editor?
- A. # Databricks notebook source
- B. // Databricks notebook source
- C. -- Databricks notebook source
- D. %python
- E. # MAGIC %python
Correct Answer: A 🗳️
Explanation: Only visible for Easy4Engine members. You can sign-up / login (it's free).
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