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Snowflake DEA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Engineer Certification Exam
Exam Number:DEA-C01
Available Languages:Japanese, English
Passing Score:750 / 1000
Certificate Validity Period:2 years
Exam Duration:115 minutes
Related Certifications:SnowPro Advanced: Data Analyst
SnowPro Advanced: Architect
SnowPro Advanced: Administrator
SnowPro Core
SnowPro Advanced: Data Scientist
SnowPro Advanced: Security Engineer
Real Exam Qty:65
Exam Format:Multiple select, Multiple choice
Exam Price:$375 USD
Recommended Training:SnowPro Advanced: Data Engineer Exam Study Guide
Snowflake University Training Courses
Exam Registration:Snowflake Certification Portal
Pearson VUE Registration
Sample Questions:Snowflake DEA-C01 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Must hold active SnowPro Core Certification; recommended 2+ years hands-on data engineering experience
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 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
  • 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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q211-Q216):

NEW QUESTION # 211
Charles, A Lead Data engineer, with ACCOUNTADMIN role wants to configure the time travel for one of the Schema's object. He setup the MIN_DATA_RETENTION_TIME_IN_DAYS pa-rameter with Value 79 at account level but he figured out that DA-TA_RETENTION_TIME_IN_DAYS is already set with value 81 at account level. What would be the effective minimum data retention period for an object?

Answer: D

Explanation:
Explanation
A user with the ACCOUNTADMIN role can also set the MIN_DATA_RETENTION_TIME_IN_DAYS at the account level. This parameter setting enforc-es a minimum data retention period for databases, schemas, and tables. Setting MIN_DATA_RETENTION_TIME_IN_DAYS does not alter or replace the DA-TA_RETENTION_TIME_IN_DAYS parameter value. It may, however, change the effective data retention period for objects. When MIN_DATA_RETENTION_TIME_IN_DAYS is set at the ac-count level, the data retention period for an object is determined by MAX(DATA_RETENTION_TIME_IN_DAYS, MIN_DATA_RETENTION_TIME_IN_DAYS).


NEW QUESTION # 212
A large e-commerce company manages a single S3 bucket containing product images, customer data, and marketing materials. Different departments within the company require access to specific data sets, but granting access to the entire bucket for each department poses a security risk.
What AWS service can be implemented to provide granular access control and simplify permission management for various departments while using a single S3 bucket?

Answer: B

Explanation:
S3 Access Points offer a more efficient and secure solution. You can create multiple access points for the single S3 bucket, each with a unique namespace. These access points can then be assigned specific IAM policies that grant granular access control for different departments.
Reference:
https://aws.amazon.com/s3/features/access-points/


NEW QUESTION # 213
Clones can be cloned, with no limitations on the number or iterations of clones that can be created (e.g. you can create a clone of a clone of a clone, and so on), which results in a n-level hierarchy of cloned objects, each with their own portion of shared and independent data storage?

Answer: B


NEW QUESTION # 214
A company uses an Amazon RDS for Oracle database to store data for an ecommerce application. The company needs a solution to make the data in all tables available for future analytics. The solution must process data from a table named customer_complaints in near real time by using a REST API.
Which solution will meet these requirements MOST cost-effectively?

Answer: B

Explanation:
AWS DMS can stream change data from the Oracle customer_complaints table to Kinesis Data Streams for near real-time processing by a Lambda that calls the REST API, while a separate DMS task delivers all tables to Amazon S3 for future analytics. This achieves both streaming and batch needs with minimal infrastructure and cost.


NEW QUESTION # 215
An ecommerce company operates a complex order fulfilment process that spans several operational systems hosted in AWS. Each of the operational systems has a Java Database Connectivity (JDBC)-compliant relational database where the latest processing state is captured.
The company needs to give an operations team the ability to track orders on an hourly basis across the entire fulfillment process.
Which solution will meet these requirements with the LEAST development overhead?

Answer: C


NEW QUESTION # 216
......

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