Databricks Certified Data Engineer Professional Practice Test

50 प्रश्न उपलब्ध

Databricks Certified Data Engineer Professional के लिए अपना आत्मविश्वास बढ़ाएँ। अवधारणाओं का अभ्यास करें, उत्तरों को समझें और हर सवाल के साथ अपना ज्ञान मज़बूत करें।

एक नमूना सवाल आज़माएँ
5 मुफ्त प्रश्न आज़माएँ
खाते की ज़रूरत नहीं। एक मुफ्त खाते में इस परीक्षा के लिए 20 प्रश्न शामिल हैं।
सर्टिफिकेशन परीक्षा
60 परीक्षा प्रश्न
2 घंटे समय सीमा
Professional स्तर
आपका अभ्यास
50 अभ्यास सवाल
50 मिनट अभ्यास समय
5 मुफ्त प्रश्न आज़माएँ
खाते की ज़रूरत नहीं। एक मुफ्त खाते में इस परीक्षा के लिए 20 प्रश्न शामिल हैं।
पार करने की सीमा 70 इस प्रमाणन के लिए प्रकाशित उत्तीर्णांक।
परीक्षा के विषय जानें Databricks से आधिकारिक उद्देश्य
Databricks50 अभ्यास प्रश्न
ब्लूप्रिंट सत्यापितDatabricks official objectives के साथ जाँचा गयामेटाडेटा सत्यापित 2026-06-07हम कैसे सत्यापित करते हैं

परीक्षा का परिचय और विवरण

The Databricks Certified Data Engineer Professional exam validates the advanced skills required to design, build, and maintain robust, scalable, and secure data processing systems on the Databricks Lakehouse Platform. This 46-question assessment tests a candidate's ability to implement complex data engineering tasks in production environments, focusing on performance optimization, reliability, and architectural best practices. It is designed for experienced data engineers who are responsible for the end-to-end data lifecycle, from ingestion and transformation to orchestration and monitoring. Successful candidates demonstrate not just theoretical knowledge, but the practical expertise to solve real-world data challenges using Delta Lake, Apache Spark, and the broader Databricks ecosystem. Earning this certification signifies a high level of competency in building enterprise-grade data solutions that are both efficient and maintainable.

नमूना प्रश्न

अभ्यास कैसे काम करता है, यह जानने के लिए एक उत्तर चुनें और व्याख्या देखें।

Data Ingestion & Acquisition

BrightPath Insurance runs the claims history workload on GCP europe-west4 using Delta Lake managed tables. The workload handles 65 concurrent users during quarterly backfill, and the audit team requires queryable evidence. The latest incident involves unexpected shuffle spill on a single stage. A migration pipeline must ingest Parquet reference files, XML partner payloads, and binary images into the same medallion architecture. The team wants one operational pattern with format-specific parsing handled downstream. The incident review found that manual UI changes were the main source of drift. Which approach best meets the requirement?

Monitoring and Alerting

Meridian Bank runs the payments risk workload on Azure westeurope using Unity Catalog metastore. The workload handles 27 TB before month-end close, and the audit team requires queryable evidence. The latest incident involves a repair run with corrected parameters. A platform owner must investigate a 30 percent cost increase across three workspaces and identify which jobs and users drove the increase over the last month. The incident review found that manual UI changes were the main source of drift. What should the team do first?

Cost & Performance Optimisation

Solara Media runs the ad event attribution workload on AWS eu-west-1 using Lakeflow Jobs. The workload handles 900 million rows during a two-hour peak window, and the current dashboard SLA is 30 seconds. The latest incident involves a malformed XML segment in a mixed feed. A workspace stores most production Delta tables as external tables in team-owned buckets. Operations spends hours reconciling locations, lifecycle policies, and permissions after every team reorganization. The architecture review board rejected solutions that create unmanaged copies of governed data. Which approach best meets the requirement?

Data Governance

Meridian Bank runs the payments risk workload on Azure westeurope using Unity Catalog metastore. The workload handles 27 TB before month-end close, and the implementation must be reviewed in Git before release. The latest incident involves unexpected nulls after upstream type promotion. A central data product has 80 tables and analysts repeatedly ask which fields are certified, who owns them, and whether they contain regulated data. The existing workload is already in production, so the answer must minimize unnecessary rewrites or reruns. Which approach best meets the requirement?

Debugging and Deploying

Caldera Energy runs the meter telemetry workload on GCP us-central1 using Photon-enabled SQL warehouse. The workload handles 3.6 TB nightly, and late data can arrive for 90 minutes. The latest incident involves a bronze table that must preserve raw lineage. A Lakeflow pipeline update fails after a source schema change. One downstream materialized view now references a renamed column, and the team needs to locate the broken dependency quickly. The architecture review board rejected solutions that create unmanaged copies of governed data. What should the team do first?

करियर के अवसर और वेतन

मध्य वेतन: $139,500US मार्केट– Database Architects

स्रोत: BLS Occupational Employment and Wage Statistics, May 2025 -- Database Architects (SOC 15-1243), US national. Occupation median, not a certification salary. (2025)

Database Architects

जब तक लोकल रेंज न दिखे, ये US मार्केट के आंकड़े हैं।

इस परीक्षा में क्या शामिल है

पढ़ाई की योजना बनाने के लिए प्रकाशित डोमेन भार का उपयोग करें। अभ्यास के परिणाम आपके सर्टिफिकेशन परीक्षा के स्कोर का अनुमान नहीं हैं।

01Data Processing

30%

02Data Modeling

20%

03Databricks Tooling

20%

04Monitoring and Logging

10%

05Security and Governance

10%

06Testing and Deployment

10%

परीक्षा विवरण Data Engineer Professional | $400 USD | 2 घंटे

परीक्षा कोड Data Engineer Professional
विक्रेता Databricks
परीक्षा शुल्क $400 USD
उत्तीर्ण अंक 70
समय सीमा 2 घंटे
परीक्षा प्रश्न 60
प्रश्न प्रकारअभी इस भाषा में उपलब्ध नहीं है
पुनः परीक्षा नीति 14-day waiting period after failed attempt. Full exam fee required for retake.
परीक्षा प्रारूप Linear
ऑनलाइन निगरानी उपलब्ध
इसमें उपलब्ध
English

अक्सर पूछे जाने वाले प्रश्न

इस परीक्षा को देने से पहले कितने हाथों के अनुभव की सिफारिश की जाती है?

क्या परीक्षा अधिकतर Spark/Databricks सिद्धांत पर केंद्रित है या व्यावहारिक कार्यान्वयन पर?

प्रदर्शन-ट्यूनिंग प्रश्नों के लिए तैयारी करने का सबसे अच्छा तरीका क्या है?

Workflows, Unity Catalog, और Delta Live Tables जैसे Databricks-विशिष्ट उपकरणों का ज्ञान कितना महत्वपूर्ण है?

क्या कोडिंग प्रश्न हैं, और कौन सी भाषाएँ शामिल हैं?