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Section 1
Setup & Configuration
Preview
Preview: Implement and manage an analytics solution
Preview includes- 4 of 12 lesson topics
- 1 overview segment
- 3 core concepts
- 2 exam tips
Lesson Topics
- Custom Spark Pool Sizing
- Default Spark Pool Autoscaling
- OneLake Default Security Roles
- OneLake ReadAll Sharing
Overview
The exam tests the foundational configuration and management tasks within Microsoft Fabric, essential for establishing a secure, governed, and performant analytics environment. It covers settings related to compute resources, data access controls, Git integration, and workspace organization.
Core Concepts
- **Custom Spark Pools:** Allow granular control over compute resources for specific workloads. You define the number of executors, memory per executor, and driver size. These pools are assigned to individual data pipelines.
- **Default Spark Pools:** Provide a baseline compute environment for all workspaces. Autoscaling dynamically adjusts the number of compute nodes based on workload demand, balancing cost and performance.
- **OneLake Default Security Roles:** OneLake inherits access controls from the underlying data storage. Default roles like 'DefaultReader' provide baseline access for users with existing permissions.
Exam Tips
- Prioritize configurations that balance cost and performance. Avoid over-provisioning resources.
- Understand the scope and limitations of OneLake security roles and when to use item-level permissions.
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Section 2
Lifecycle & Warehousing
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Section 3
Security & Governance
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Section 4
Capacity & Resource Management
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Section 5
Data Ingestion
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Section 6
Advanced Spark
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Section 7
Semantic Layer
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Section 8
Transformation & Processing
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Section 9
Monitoring & Pipelines
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Section 10
Optimization Fundamentals
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