Implementing Analytics Solutions Using Microsoft Fabric (beta)
- Product Code: dp-600
- Exam Questions: 105
- Vendor: microsoft
$9.99
$12.99- Updated At: Nov 14, 2024
AI-203
This exam measures your ability to design, deploy, and manage analytics solutions using Microsoft Fabric services, such as Azure Databricks, Azure Synapse Analytics, Power BI, and other data warehousing and analytics technologies.
Focus
The Implementing Analytics Solutions Using Microsoft Fabric (beta) certification focuses on Analytics Solutions, Data Warehousing, Data Science, Business Intelligence
Exam Duration
The Implementing Analytics Solutions Using Microsoft Fabric (beta) exam duration is 150 minutes
Num of Question
The exam contains a total of 43 questions
Exam Fee
The exam fee is $165 USD.
Exam Validity
The CCRN-Pediatric certification is valid for 5 years.
Prior Certification
- Microsoft Certified: Azure Data Engineer Associate or equivalent knowledge
Exam Format
The Implementing Analytics Solutions Using Microsoft Fabric (beta) exam is a Multiple-choice questions, select-and-place questions, and hands-on labs
Passing Conditions
To pass Implementing Analytics Solutions Using Microsoft Fabric (beta) exam, applicants must achieve a minimum score of Pass requirement: 700 (out of 1000)
Who Should Take
Data engineers, data scientists, and other professionals working with data analytics solutions in Microsoft Fabric
- Data Engineer
- Data Scientist
- Business Intelligence Developer
- Data Architect
Prerequisites
2 years of experience designing, implementing, and managing data analytics solutions, or equivalent knowledge
Or can substitute with certifications:
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Developer Associate
Certification Process
- Step 1: Meet the Prerequisites and Exam Eligibility Requirements
- Step 2: Prepare for and pass the AI-203 exam
- Step 3: Maintain Certification
Domains with Weights
- Design and Implement Data Warehouse and Analytics Solutions (45%): Design and create data warehouse and analytics solutions, and implement ETL processes using Azure Databricks, Azure Synapse Analytics, and other technologies.
- Develop and Deploy Analytics Solutions (30%): Develop and deploy machine learning models and predictive analytics solutions using Power BI, Azure Machine Learning, and other technologies.
- Manage and Optimize Data Warehouse and Analytics Solutions (25%): Monitor, troubleshoot, and optimize data warehouse and analytics solutions to ensure performance, security, and governance.
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