How Much Does Azure Databricks Certification Cost and What's Included

The cost of Azure Databricks certification can vary depending on the type of exam and the location where you take it. Typically, the exam fee for Azure Databricks certification is around $165 USD.

You can choose from two types of certification: Associate and Professional. The Associate certification is designed for those with basic knowledge of Azure Databricks, while the Professional certification is geared towards those with advanced knowledge.

The exam fee for Associate certification is the same as the Professional certification, at $165 USD.

Here's an interesting read: Azure Associate Certification

Azure Databricks offers a pre-purchase plan for Databricks Units (DBU) called Databricks Commit Units (DBCU).

You can get up to 37% savings over pay-as-you-go DBU prices by pre-purchasing DBCU for 1 or 3 years.

A Databricks Commit Unit normalizes usage from Azure Databricks workloads and tiers into a single purchase.

Your DBU usage will draw down from the Databricks Commit Units until they are exhausted or the purchase term expires.

The draw down rate will be equivalent to the price of the DBU.

Azure Databricks offers purchase tiers and discounts for DBCU purchases.

The purchase tiers and discounts are shown in the table above, but unfortunately, the table is not provided in the article section facts.

Azure Databricks offers a range of features and services that make it an attractive choice for data analytics and AI workloads. One of the key features is its ability to support multiple programming languages, including Python, Scala, and SQL.

Databricks supports various data formats, including CSV, JSON, and Avro, allowing for seamless integration with existing data pipelines. This flexibility is a major advantage for organizations with diverse data sources.

Azure Databricks provides a scalable and secure environment for data processing and analytics, with features like auto-scaling and encryption at rest and in transit. This ensures that data is protected and easily accessible as needed.

The platform offers a range of tools and libraries, including Apache Spark and Delta Lake, to simplify data engineering and science tasks. These tools enable faster development and deployment of data-driven applications.

Azure Databricks integrates with other Azure services, such as Azure Storage and Azure Active Directory, to provide a comprehensive data analytics platform. This integration streamlines data processing and makes it easier to manage access and security.

Security and Compliance is a crucial aspect of Azure Databricks, especially for customers processing regulated data. Enhanced Security & Compliance Add-on is available for such customers, providing enhanced security and controls for their compliance needs.

This offering is only available on Azure Databricks Premium Tier workspace and includes Enhanced Security Monitoring and Compliance Security Profile. Compliance Security Profile is required for PCI-DSS and recommended for HIPAA, but the details can be found in the Compliance documentation.

The Enhanced Security & Compliance Add-on is offered at 10% of list price added to the Azure Databricks product spend in a selected workspace. This makes it a cost-effective solution for customers who need to meet strict security and compliance requirements.

You might like: Windows Azure Security Certifications

Azure Databricks offers a range of hardware and infrastructure options to meet the needs of various workloads and use cases.

You can choose from several node types, each with its own set of resources and pricing. The Standard Node, for example, offers 7 GB of memory and 8 vCPUs, while the Premium Node has 36 GB of memory and 32 vCPUs.

Azure Databricks clusters can be scaled up or down as needed, allowing you to adjust the number of nodes and resources according to your workload requirements. This flexibility makes it easier to manage costs and optimize performance.

Each node in an Azure Databricks cluster can be configured with a specific type of storage, such as DBFS or Azure Blob Storage. This allows you to choose the best storage option for your specific use case and workload.

Azure Databricks is built on top of the Apache Spark engine, which provides high-performance processing and analytics capabilities. This makes it an ideal choice for large-scale data processing and analytics workloads.

Related reading: Azure File Storage Cost

Azure Pricing can be a bit tricky to understand, but I've got the lowdown. Learners who pass all courses in Azure Databricks will receive a voucher for 50% off the DP-100 Certification Exam.

You'll be billed for virtual machines (VMs) provisioned in clusters and Databricks Units (DBUs) based on the VM instance selected. A DBU is a unit of processing capability, billed on a per-second usage.

The pricing tiers for Azure Databricks are Standard and Premium. In the Premium Tier, Interactive Serverless Compute costs $-/DBU-hour, while All-Purpose Compute costs $-/DBU-hour.

Here's a breakdown of the Premium Tier prices for different workloads:

In addition to virtual machines, Azure Databricks will also bill for managed, disk, blob storage, and Public IP Address.

Big data analytics is a powerful tool for uncovering patterns and trends in large data sets. Using Azure Databricks, professionals can efficiently process enormous volumes of data.

Azure Databricks combines powerful analytics with a user-friendly environment for collaborative projects. This makes it easier to achieve actionable outcomes.

Opting for an Azure Databricks certification can greatly enhance your proficiency in managing and analyzing big data.