Microsoft Azure Cosmos DB Developer Specialty (DP-420) Cert Prep: 1 Design and Implement Data Models by Microsoft Press

سرفصل های دوره

Cosmos DB is Microsoft Azure's flagship non-relational database product. It supports multiple application programming interfaces (APIs) that provide compatibility with competing NoSQL databases. If you’re looking to integrate enterprise-scale, cloud-based, NoSQL databases into your organization’s IT solutions, you may want to think about getting certified as a Microsoft Azure Cosmos DB developer. In this course, the first in a five-part series, instructor Tim Warner gives an overview of the skills you need to master to tackle the first domain of the Microsoft Azure Cosmos DB Developer Specialty (DP-420) certification exam. Learn how to design and implement a non-relational data model for Azure Cosmos DB, design a data-partitioning strategy for Azure Cosmos DB Core API, plan and implement sizing and scaling for a database created with Azure Cosmos DB, implement client connectivity options in the Azure Cosmos DB SDK, and implement data access using the Azure Cosmos DB SQL query language and SQL API SDKs.

Note: This course was created by Microsoft Press and Tim Warner. We are pleased to host this training in our library.

1 Introduction

01 Exam DP-420 Designing and implementing cloud-native applications using Microsoft Azure Cosmos DB Introduction

2 Lesson 1

02 Learning objectives

03 Develop a design by storing multiple entity types in the same container

04 Develop a design by storing multiple related entities in the same document

05 Develop a design by referencing between documents

06 Identify primary and unique keys

07 Identify data and associated access patterns

08 Specify a default TTL on a container for a transactional store

3 Lesson 2

09 Learning objectives

10 Choose a partition strategy based on a specific workload

11 Plan for transactions when choosing a partition key

12 Calculate and evaluate throughput distribution based on partition key selection

13 Design partitioning for workloads that require multiple partition keys

4 Lesson 3

14 Learning objectives

15 Choose between serverless and provisioned models

16 Choose when to use database-level provisioned throughput

17 Design for granular scale units and resource governance

18 Evaluate the cost of the global distribution of data

19 Configure throughput for Azure Cosmos DB by using Azure Portal

5 Lesson 4

20 Learning objectives

21 Implement a connectivity mode

22 Create a connection to a database

23 Enable offline development by using the Azure Cosmos DB Emulator

24 Handle connection errors

25 Configure client-side threading and parallelism options

26 Enable SDK logging

6 Lesson 5

27 Learning objectives

28 Implement queries that use arrays, nested objects, aggregation, and ordering

29 Implement a correlated subquery

30 Implement queries that use array and type-checking functions

31 Implement queries that use mathematical, string, and date functions

32 Implement queries based on variable data

7 Lesson 6

33 Learning objectives

34 Choose when to use a point operation versus a query operation

35 Implement a point operation that creates, updates, and deletes documents

36 Implement an update by using a patch operation

37 Manage multi-document transactions using SDK Transactional Batch

38 Perform a multi-document load using SDK Bulk

39 Implement optimistic concurrency control using ETags

40 Implement session consistency by using session tokens

41 Implement a query operation that includes pagination

42 Implement a query operation by using a continuation token

43 Handle transient errors and 429s

44 Specify TTL for a document

45 Retrieve and use query metrics

8 Lesson 7

46 Learning objectives

47 Design stored procedures to work with multiple items transactionally

48 Implement triggers

49 Implement a user-defined function

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تولید کننده: LinkedIn Learning (Lynda)