2025 HIGH PASS-RATE SNOWFLAKE NEW DEA-C01 EXAM PATTERN

2025 High Pass-Rate Snowflake New DEA-C01 Exam Pattern

2025 High Pass-Rate Snowflake New DEA-C01 Exam Pattern

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Tags: New DEA-C01 Exam Pattern, Trusted DEA-C01 Exam Resource, DEA-C01 Prep Guide, Latest DEA-C01 Exam Questions, Valid Exam DEA-C01 Registration

Our valid DEA-C01 exam dumps will provide you with free dumps demo with accurate answers that based on the real exam. These DEA-C01 real questions and answers contain the latest knowledge points and the requirement of the certification exam. High quality and accurate of DEA-C01 Pass Guide will be 100% guarantee to clear your test and get the certification with less time and effort.

Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 2
  • Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 3
  • Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.
Topic 4
  • Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 5
  • Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.

>> New DEA-C01 Exam Pattern <<

100% Pass Quiz 2025 Marvelous Snowflake DEA-C01: New SnowPro Advanced: Data Engineer Certification Exam Exam Pattern

You can trust PassCollection DEA-C01 exam questions and start this journey with complete peace of mind and satisfaction. The PassCollection DEA-C01 practice questions are designed and verified by experienced and qualified DEA-C01 exam experts. They work collectively and put their expertise to ensure the top standard of PassCollection Snowflake DEA-C01 Exam Dumps. So we can say that with the PassCollection Snowflake DEA-C01 exam questions, you will get everything that you need to learn, prepare and pass the difficult SnowPro Advanced: Data Engineer Certification Exam certification exam with good scores.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
A data engineer must use AWS services to ingest a dataset into an Amazon S3 data lake. The data engineer profiles the dataset and discovers that the dataset contains personally identifiable information (PII). The data engineer must implement a solution to profile the dataset and obfuscate the PII.
Which solution will meet this requirement with the LEAST operational effort?

  • A. Use the Detect PII transform in AWS Glue Studio to identify the PII. Create a rule in AWS Glue Data Quality to obfuscate the PII. Use an AWS Step Functions state machine to orchestrate a data pipeline to ingest the data into the S3 data lake.
  • B. Use the Detect PII transform in AWS Glue Studio to identify the PII. Obfuscate the PII. Use an AWS Step Functions state machine to orchestrate a data pipeline to ingest the data into the S3 data lake.
  • C. Ingest the dataset into Amazon DynamoDB. Create an AWS Lambda function to identify and obfuscate the PII in the DynamoDB table and to transform the data. Use the same Lambda function to ingest the data into the S3 data lake.
  • D. Use an Amazon Kinesis Data Firehose delivery stream to process the dataset. Create an AWS Lambda transform function to identify the PII. Use an AWS SDK to obfuscate the PII. Set the S3 data lake as the target for the delivery stream.

Answer: A


NEW QUESTION # 86
Which Role inherits the privileges of the USERADMIN role via the system role hierarchy?

  • A. SECURITYADMIN
  • B. PUBLIC
  • C. SYSADMIN
  • D. CUSTOM ROLE

Answer: A


NEW QUESTION # 87
A SQL UDF evaluates an arbitrary SQL expression and returns the result(s) of the expression. Which value type it can returns?

  • A. A Set of Rows
  • B. Regex
  • C. Single Value
  • D. Scaler or Tabular depend on input SQL expression

Answer: D


NEW QUESTION # 88
A company uses an Amazon Redshift provisioned cluster as its database. The Redshift cluster has five reserved ra3.4xlarge nodes and uses key distribution.
A data engineer notices that one of the nodes frequently has a CPU load over 90%. SQL Queries that run on the node are queued. The other four nodes usually have a CPU load under 15% during daily operations.
The data engineer wants to maintain the current number of compute nodes. The data engineer also wants to balance the load more evenly across all five compute nodes.
Which solution will meet these requirements?

  • A. Change the primary key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.
  • B. Upgrade the reserved node from ra3.4xlarge to ra3.16xlarge.
  • C. Change the sort key to be the data column that is most often used in a WHERE clause of the SQL SELECT statement.
  • D. Change the distribution key to the table column that has the largest dimension.

Answer: D

Explanation:
https://docs.aws.amazon.com/redshift/latest/dg/t_Distributing_data.html


NEW QUESTION # 89
A large table with 200 columns contains two years of historical data. When queried. the table is filtered on a single day Below is the Query Profile:

Using a size 2XL virtual warehouse, this query look over an hour to complete What will improve the query performance the MOST?

  • A. Add a date column as a cluster key on the table
  • B. Implement the search optimization service on the table
  • C. Increase the number of clusters in the virtual warehouse
  • D. increase the size of the virtual warehouse.

Answer: A

Explanation:
Explanation
Adding a date column as a cluster key on the table will improve the query performance by reducing the number of micro-partitions that need to be scanned. Since the table is filtered on a single day, clustering by date will make the query more selective and efficient.


NEW QUESTION # 90
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