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  • Total Questions: 354
  • Updated on: Oct 10, 2026
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  • Total Questions: 354
  • Updated on: Oct 10, 2026
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  • Total Questions: 354
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When Snowflake revises an exam blueprint, last year's study notes quietly turn into a liability. In 2026 the DEA-C02 practice questions from ITCertMagic are kept under continuous review, and your Snowflake SnowPro Advanced: Data Engineer (DEA-C02) purchase includes 365 days of free updates delivered straight to you.

Snowflake DEA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Data Transformation and Processing20-25%- Manage data quality, validation, and deduplication
- Transform and enrich data using SQL, JavaScript, Python, and Snowpark
- Process semi-structured data: JSON, Avro, Parquet, ORC
- Implement ELT/ETL workflows using Streams, Tasks, and Dynamic Tables
Data Pipeline Architecture and Design15-20%- Design scalable, reliable, and maintainable data pipelines
- Build end-to-end near real-time streaming solutions
- Integrate with external tools and platforms: orchestration, BI, ML
- Apply design patterns for data engineering workloads
Data Ingestion and Sourcing20-25%- Use Snowflake ingestion methods: Snowpipe, COPY INTO, External Functions
- Ingest data from various sources: data lakes, APIs, on-premises systems, cloud storage
- Handle different data formats: structured, semi-structured, unstructured
- Design and implement continuous and batch ingestion pipelines
Performance Optimization and Compute Management15-20%- Manage virtual warehouses: sizing, scaling, multi-cluster, cost control
- Use search optimization and query acceleration services
- Optimize query performance: clustering, partitioning, materialized views
- Monitor and tune workloads and resource utilization
Data Sharing and Collaboration5-10%- Work with Snowflake Data Marketplace and external data providers
- Design multi-tenant and cross-account data architectures
- Implement secure data sharing and data exchanges
Data Governance, Security, and Compliance10-15%- Manage data lineage, cataloging, and compliance policies
- Implement access control: RBAC, authentication, authorization
- Apply data protection: encryption, masking, row-level security
- Enforce data quality and governance standards

Your Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Questions, Answered

Registering for the DEA-C02 exam costs $375 USD at the official rate, and you need 750 (scaled score, range 0-1000) to pass. Bear in mind that an unsuccessful attempt is not discounted the second time around — a retake is charged at the full fee again. That is why experienced candidates test themselves with the 354 practice questions from ITCertMagic until their results are consistently strong before spending money on the real thing.

Yes, and we encourage it. A free PDF demo of the DEA-C02 questions is available so you can evaluate the quality and layout before buying. After purchase, your material stays current with 365 days of free updates — and if that period ever expires, you can extend the update service at a 50% discount through your member zone.

Registration is handled through the vendor's official channels:

As for how you will sit it, the DEA-C02 exam is offered Online proctored (OnVUE) or onsite at Pearson VUE test centers — pick the option that fits your situation during booking.

You will face 65 questions within a time allowance of 115 minutes. Raw numbers aside, the real skill is pacing: candidates who run out of time usually spent too long on early questions. Our advice is to set a mental per-question budget, skip and revisit anything that stalls you, and complete at least two full timed runs in the ITCertMagic test engine before the real appointment so the clock never rattles you.

Both situations are covered. Take the corresponding DEA-C02 exam within 60 days of purchase without passing, and you may claim a full refund under our 100% Money Back Guarantee: submit a scanned exam enrollment slip plus the official Score Report PDF within 2 days of your exam date, and we finish processing within 7 days. The conditions are strict — an exam taken within 3 days of purchase does not qualify, the candidate's name must match the payer's, and free materials or expired orders are excluded. Would you rather keep studying? Swap the order for two other exam products of equal value free of charge while keeping updates on your original purchase. As for delivery, it is immediate: files unlock for download the moment payment clears, a copy reaches your mailbox within a minute, and there is no cap on how many computers you install it on — if 2 hours pass with nothing received, contact our support team.

Passing the DEA-C02 exam earns you the SnowPro Advanced: Data Engineer certification, a Advanced-level credential. It is the vendor's official proof that your skills meet the standard employers look for, and it regularly appears as a requirement in job postings. The certification also relates to SnowPro Core, SnowPro Advanced: Architect, SnowPro Advanced: Administrator, so it can anchor a broader certification plan rather than stand alone.

Recommended: Active SnowPro Core certification; 2+ years hands-on data engineering experience with Snowflake Because vendors revise their eligibility rules from time to time, treat this as a starting point and verify the latest requirements on the official exam page — see the official DEA-C02 exam outline before you commit to a test date.

The vendor organizes the Snowflake SnowPro Advanced: Data Engineer (DEA-C02) blueprint into 6 domains, led by Data Governance, Security, and Compliance (10-15%), Data Ingestion and Sourcing (20-25%), Data Sharing and Collaboration (5-10%). Every domain contains further subtopics, and the weighting tells you where your study hours pay off most — the full outline above has the complete picture, so review it before building your study plan.

The vendor recommends the following official courses for this exam:

Training builds knowledge, but it does not measure readiness. Once you finish a course, put yourself to the test with the DEA-C02 practice questions from ITCertMagic — that is where you find out whether the material actually stuck.

Snowflake SnowPro Advanced: Data Engineer (DEA-C02) Sample Questions:

You have a Snowflake Task that is designed to transform and load data into a target table. The task relies on a Stream to detect changes in a source table. However, you notice that the task is intermittently failing with a 'Stream STALE' error, even though the data in the source table is continuously updated. What are the most likely root causes and the best combination of solutions to prevent this issue? (Select TWO)

  • A. The Stream is not configured with 'SHOW INITIAL ROWS = TRUE, causing initial changes to be missed and eventually leading to staleness. Recreate the stream with this parameter set to TRUE.
  • B. The Task is not running frequently enough, causing the Stream to accumulate too many changes before being consumed, exceeding its retention period. Increase the task's execution frequency or increase the stream's 'DATA RETENTION TIME IN DAYS
  • C. The source table is being modified with DDL operations (e.g., ALTER TABLE ADD COLUMN), which are not supported by Streams. Use Table History to track schema changes and manually adjust the Stream's query if needed. Use 'COPY GRANTS' during the DDL.
  • D. DML operations (e.g., UPDATE, DELETE) being performed on the source table are affecting rows older than the Stream's retention period. Reduce the stream's 'DATA RETENTION TIME IN DAYS' to match the oldest DML operation on the source table.
  • E. The Stream has reached its maximum age (default 14 days) and expired. There is no way to recover data from an expired Stream. You need to recreate the Stream and reload the source table.
Reveal Solution  Discussion  0

Correct Answer: B,C  🗳️

Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).

You have a Snowflake table called 'ORDERS' with a column named 'ORDER DETAILS that contains JSON data'. You need to create a UDF to extract a specific value from the JSON and return it. The JSON structure is consistent: '{'customer': {'name': 'John Doe', 'email': '[email protected]'}, 'items': [{'item id': 1, 'quantity': 2}, {'item id': 2, 'quantity': You want to extract the customer's email address. Which of the following UDF definitions is the most efficient and correct?

  • A. Option A
  • B. Option E
  • C. Option B
  • D. Option C
  • E. Option D
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).

You are tasked with creating a development environment from a production database in Snowflake. The production database is named 'PROD DB' and contains several schemas, including 'CUSTOMER DATA' and 'PRODUCT DATA'. You want to create a clone of the 'PROD DB' database named 'DEV DB', but you only need the 'CUSTOMER DATA' schema for development purposes and all the data should be masked with a custom UDF 'MASK EMAIL' for 'email' column in 'CUSTOMER' table. The 'email' column is VARCHAR. Which of the following sequences of SOL statements would achieve this in Snowflake? Note: UDF MASK EMAIL already exists in the account.

  • A.
  • B.
  • C.
  • D.
  • E.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).

You have a table 'SALES DATA' in your production environment. You want to create a development environment using cloning, but only want to include data up to a specific point in time to minimize storage costs and potential exposure of recent, sensitive data'. You know there were significant changes to the 'SALES DATA' table structure on '2024-01-15'. Your goal is to create a clone that only includes the structure as of '2024-01-14'. Which Snowflake command is MOST appropriate for this scenario?

  • A.
  • B.
  • C.
  • D.
  • E.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).

You accidentally truncated a large table named 'SALES DATA' in your 'REPORTING DB" database. You realize this happened 2 days ago, and your account has the default Time Travel retention of 1 day. You need to recover this table with minimal downtime. Analyze the situation and determine the best course of action, considering cost and recovery time.

  • A. Because the data retention period has expired, the table is unrecoverable using Snowflake's built-in features; you must restore from an external backup solution if available.
  • B. Increase the account-level to 2 days and then use the UNDROP TABLE SALES_DATA' command.
  • C. Raise a support ticket requesting data recovery from failsafe. Since data retention period has expired.
  • D. Create a clone of the table using the 'AT clause and a timestamp from 1 day ago. This would prevent any additional cost.
  • E. Immediately contact Snowflake Support to initiate a restore from Fail-safe, understanding that this process may take several hours or even days.
Reveal Solution  Discussion  0

Correct Answer: E  🗳️

Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).

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