exam-guide

Describe Cloud Computing Introduction to Cloud Computing Describe the Shared Responsibility Model Define Cloud Model Describe the Consumption-Based Model Describe the Benefits of Using Cloud Services Describe the Benefits of High Availability & Scalability in the Cloud Describe the Benefits of Reliability & Predictability in the Cloud Describe the Benefits of Security & Governance in the Cloud Describe the Benefits of Manageability in the Cloud Describe Cloud Service Types Describe Infrastructure as a Service (IaaS) Describe Platform as a Service (PaaS) Describe Software as a Service (SaaS) Reference Describe Cloud Computing Introduction to Cloud Computing What is Cloud Computing?...

Describe the Core Architectural Components of Azure What is Microsoft Azure? Get started with Azure Accounts Describe Azure Physical Infrastructure Describe Azure Management Infrastructure Describe Azure Compute and Networking Services Describe Azure Virtual Machines Describe Azure Virtual Desktop Describe Azure Containers Describe Azure Functions Describe Application Host Options Describe Virtual Networking Describe Azure Virtual Private Networks Describe Azure ExpressRoute Describe Azure DNS Describe Azure Storage Services Describe Azure Storage Accounts Describe Azure Storage Redundancy Describe Azure Storage services Identify Azure data migration options Identify Azure file movement options Describe Azure Identity, Access and Security Describe Azure directory services Describe Azure authentication methods Describe Azure external identities Describe Azure conditional access Describe Azure Role-Based Access Control (RBAC) Describe zero trust model Describe defense-in-depth Describe Microsoft Defender for Cloud Reference Describe the Core Architectural Components of Azure What is Microsoft Azure?...

Describe Cost Management in Azure Describe Factors that Can Affect Costs in Azure Compare the Pricing and Total Cost of Ownership calculators Describe the purpose of tags Describe Features and Tools in Azure for Governance and Compliance Describe the purpose of Microsoft Purview Describe the purpose of Azure Policy Describe the purpose of Resource Locks Describe the purpose of the Service Trust portal Describe Features and Tools for Managing and Deploying Azure Resources Describe the Azure Portal Describe Azure Cloud Shell, including Azure CLI and Azure PowerShell Describe the purpose of Azure Arc Describe Azure Resource Manager (ARM), ARM Templates, and Bicep Describe Monitoring Tools in Azure Describe the Purpose of Azure Advisor Describe Azure Service Health Describe Azure Monitor, including Azure Log Analytics, Azure Monitor Alerts, and Application Insights Reference Describe Cost Management in Azure Describe Factors that Can Affect Costs in Azure Azure Shifts development costs from CapEx of building out and maintaining infrastructure and facilities, to an OpEx of renting infrastructure as you need it....

General Azure Fundamentals: link Passing Grade: 700/1000 Questions: 35 ~ 50 Questions no penalty for wrong answers Multiple Choice Multiple Answer Drag and Drop Yes and No Duration: 45 mins Microsoft Fundamentals certifications such as AZ-900 or MS-900 do no expires, as long as the technology is still available or relevant. Exam Topics Cloud Concepts (25% ~ 30%). 13-15 questions Azure Architecture & Services (35% ~ 40%). 16-18 questions Azure Management & Governance (30% ~ 35%)....

General Databricks Certified Data Engineer Professional: link Time allotted to complex exam is 2 hours (120 minutes) Exam fee $200 USD Number of questions 60 Question type: multiple choice questions Passing scores is at least 70% on the overall exam Code Example data manipulation code will be in SQL when possible Structured Streaming code will be in Python Runtime version is DBR 10.4 LTS Practice Exam: link Target Audience Data Engineer, >= 2yoe Advanced, practitioner certification Assess candidates at a level equivalent to two or more years with data engineering with Databricks Expectation Understanding of the Databricks platform and developer tools Ability to build optimised and cleaned data processing pipelines using the Spark and Delta Lake APIs Ability to model data into a Lakehouse using knowledge of general data modeling concepts Ability to make data pipelines secure, reliable, monitored, and tested before deployment Out of Scope The following is not expected of a Professional-level data engineer:...