Snowflake Data Engineer Certification Preparatory Test 2023!
Snowflake Data Engineer Certification Preparatory Test 2023!
Take your Advance Step in the Snowflake Data Cloud journey!
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The SnowPro Advanced: Data Engineer Mock validates advanced knowledge and skills used to apply comprehensive data engineering principles using Snowflake.
This Practice Mock Test will test the ability of Candidate to:
● Source data from Data Lakes, APIs, and on-premises
● Transform, replicate, and share data across cloud platforms
● Design end-to-end near real-time streams
● Design scalable compute solutions for DE workloads
● Evaluate performance metrics
Domain Estimated Percentage Range of Exam Questions
1.0 Data Movement 35-40%
2.0 Performance Optimization 20-25%
3.0 Storage and Data Protection 10-15%
4.0 Security 10-15%
5.0 Data Transformation 15-20%
Snowflake Data Engineer Certification Preparatory Test | Udemy Course
1.0 Domain: Data Movement
1.1 Given a data set, load data into Snowflake.
● Outline considerations for data loading
● Define data loading features and potential impact
1.2 Ingest data of various formats through the mechanics of Snowflake.
● Required data formats
● Outline Stages
1.3 Troubleshoot data ingestion.
1.4 Design, build and troubleshoot continuous data pipelines.
● Design a data pipeline that forces uniqueness but is not unique.
● Stages
● Tasks
● Streams
● Snowpipe
● Auto ingest as compared to Rest API
1.5 Analyze and differentiate types of data pipelines.
1.6 Install, configure, and use connectors to connect to Snowflake.
1.7 Design and build data sharing solutions.
● Implement a data share
● Create a secure view
● Implement row level filtering
1.8 Outline when to use an External Table and define how they work.
● Partitioning external tables
● Materialized views
● Partitioned data unloading
2.0 Domain: Performance Optimization
2.1 Troubleshoot underperforming queries.
● Identify underperforming queries
● Outline telemetry around the operation
● Increase efficiency
● Identify the root cause
2.2 Given a scenario, configure a solution for the best performance.
● Scale out vs. scale in
● Cluster vs. increase warehouse size
● Query complexity
● Micro partitions and the impact of clustering
● Materialized views
● Search optimization
2.3 Outline and use caching features.
2.4 Monitor continuous data pipelines.
● Snowpipe
● Stages
3.0 Domain: Storage and Data Protection
3.1 Implement data recovery features in Snowflake.
● Time Travel
● Fail-safe
3.2 Outline the impact of Streams on Time Travel.
3.3 Use System Functions to analyze Micro-partitions.
● Clustering depth
● Cluster keys
3.4 Use Time Travel and Cloning to create new development environments.
● Backup databases
● Test changes before deployment
● Rollback
Snowflake Data Engineer Certification Preparatory Test | Udemy Discount
4.0 Domain: Security
4.1 Outline Snowflake security principles.
● Authentication methods (Single Sign On, Key Authentication,
Username/Password, MFA)
● Role Based Access Control (RBAC)
4.2 Outline the System Defined Roles and when they should be applied.
● The purpose of each of the System Defined Roles including best practices
usage in each case
● The primary differences between SECURITYADMIN and USERADMIN roles
● The difference between the purpose and usage of the
USERADMIN/SECURITYADMIN roles and SYSADMIN
4.3 Outline Column Level Security.
● Explain the options available to support column level security including
Dynamic Data Masking and External Tokenization
● DDL required to manage Dynamic Data Masking
● Methods and best practices for creating and applying masking policies on
data.
5.0 Domain: Data Transformation
5.1 Define User-Defined Functions (UDFs) and outline how to use them.
● Secure UDFs
● SQL UDFs
● JavaScript UDFs
● Returning Table Value vs. Scalar Value
5.2 Define and create External Functions.
● Secure External Functions
5.3 Design, Build, and Leverage Stored Procedures.
● Transaction management
5.4 Handle and transform semi-structured data.
● Traverse and transform semi-structured data to structured data
● Transform structured to semi-structured data
5.5 Use Snowpark for data transformation.
● Query and filter data using the Snowpark library
● Perform data transformations using Snowpark (ie., aggregations)
● Join Snowpark dataframes
Snowflake Data Engineer Certification Preparatory Test | Udemy
Who this course is for:
- Snowflake Data Engineer, Lead Data Engineer, Data Architect
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If you fail the SnowPro-Advanced-Data-Engineer Snowflake 365 Fundamentals exam, you'll get a complete refund. There's even an 20% discount!
Snowflake Certified SnowPro Advanced - Data Engineer Certification Exam Sample Questions with Online Practice Test, Study Material, Exam Cert Guide
The SnowPro ™ Core Certification is designed for individuals who would like to demonstrate their knowledge the Snowflake Cloud Data Platform.
SnowPro Advanced: Data Engineer. Expertise in using broad data engineering principles in Snowflake will be tested on this Certification Exam.
Let's test our knowledge in the Snowflake SnowPro Advanced: Data Engineer exam with this set of practice exam questions with solutions.
The SnowPro Advanced: Data Engineer Certification will test advanced knowledge and skills used to apply comprehensive data engineering
INSTRUCTOR
Reshma Chhabra
