Snowflake Practice Questions - SnowPro Core Certified
The course contains a series of practice tests to help prepare you for the SnowPro Core Certified exam.
If, like me you come from the database background you’ll find using a product like Snowflake a real breath of fresh air. Easy to use, fast, agile, and packed with great features, it removes a lot of the tedious administrational tasks you tend to associate with pretty much every other database. It’s no wonder why it’s had the level of success it has and its great fun to use. I hope you find this content helpful.
The sheer simplicity of the Snowflake means it is straightforward to getting up and running. This also means a lot of users don’t move past the basics, because they never need to. For everyday workloads Snowflake runs out of the box and if queries start to take a little longer, well, you can always scale up at the touch of a button!
The questions contained in these practice tests cover the follow subject areas:
Snowflake Overview and Architecture
Snowflake Virtual Warehouses
Snowflake Storage and Protection
Data Movement (Loading & Unloading)
Snowflake Account, Security and Sharing
Snowflake Performance and Tuning
Working with Semi-Structured Data
Streams & Tasks
The exam does not cover cloud fundamentals or basics of SQL syntax, but some questions on the exam assume knowledge of these concepts. It's worthwhile brushing up on some of these areas if your not familiar with them.
This guide does not guarantee success but forms part of your preparation to succeed.
Who this course is for:
- This course is for data engineers, data analysts, data scientists or data architects who are either just starting out with Snowflake, or have some practical experience and want to back this up with a professional certification.
Adam Morton is a senior data and analytics professional with almost two decades of experience, having architected, designed, and led the implementation of several data warehouse and business intelligence solutions. Adam has extensive experience and certifications across several data analytics platforms, ranging from Microsoft SQL Server, Teradata and Hortonworks, to modern cloud-based tools such as AWS Redshift, Google Big Query and of course Snowflake.
Having successfully combined his experience with traditional technologies with his knowledge of modern platforms, he has accumulated substantial practical expertise in data warehousing and analytics in Snowflake, which he has captured and distilled into this book.
Today Adam runs his own data & analytics consultancy which focuses on helping companies solve problems with data, along with designing and executing modern data strategies to deliver tangible business value.