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- ‘DP-900: Microsoft Azure Data Fundamentals 2020 Practice Exam (Solved Practice Test 120+)’ by Eaze Teach — Eaze Teach is one of the largest online IT content providers in the world and they have study guides & mock tests for technical exams of numerous IT vendors such as Linux, Cisco, and Microsoft. Plus, Eaze Teach even provides training courses to IT workers to succeed in their job positions. This almost 150-page paperback from such a provider is loaded with practice tests consisting of 120+ original and challenging questions for the Microsoft exam DP-900. These practice tests are meant to exactly replicate the actual DP-900 test, hence the structure, question types, time limit, and passing score are the same as DP-900. Significantly, each question in this book has been created in accordance with the official exam syllabus issued by Microsoft for DP-900, meaning they’ll cover all the necessary topics. Taking the mock tests in this book is a great way to assess where the candidate currently stands in terms of exam preparation and advance accordingly. Furthermore, these mocks will also help candidates identify gaps in their knowledge.
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- India - 12,10,327 INR
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/dp-900
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Microsoft DP-900日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe core data concepts | 25-30% | - Describe ways to represent data
|
| Topic 2: Describe considerations for working with non-relational data on Azure | 15-20% | - Describe non-relational concepts
|
| Topic 3: Identify considerations for relational data on Azure | 20-25% | - Describe relational concepts
|
| Topic 4: Describe an analytics workload on Azure | 25-30% | - Describe analytics concepts
|
Microsoft Azure Data Fundamentals (DP-900日本語版) Sample Questions:
文を正しく完成させる答えを選択してください。
Reveal Solution Discussion 0Correct Answer:

See the answer in explanation below.
Explanation:
Answer below as:
以下の各記述について、正しい場合は「はい」を選択してください。そうでない場合は「いいえ」を選択してください。注:正しい選択肢は1つにつき1点です。
Correct Answer:

Explanation:
Box 1: Yes
Azure Databricks can consume data from SQL Databases using JDBC and from SQL Databases using the Apache Spark connector.
The Apache Spark connector for Azure SQL Database and SQL Server enables these databases to act as input data sources and output data sinks for Apache Spark jobs.
Box 2: Yes
You can stream data into Azure Databricks using Event Hubs.
Box 3: Yes
You can run Spark jobs with data stored in Azure Cosmos DB using the Cosmos DB Spark connector.
Cosmos can be used for batch and stream processing, and as a serving layer for low latency access.
You can use the connector with Azure Databricks or Azure HDInsight, which provide managed Spark clusters on Azure.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/data/data-sources/sql-databases-azure
https://docs.microsoft.com/en-us/azure/databricks/scenarios/databricks-stream-from-eventhubs
データウェアハウスの主な目的は何ですか?
- A. リレーショナルおよび非リレーショナルの履歴データの読み取り専用ストレージを提供する
- B. ソースデータストアとターゲットデータストア間の変換サービスを提供する
- C. 複数のソースからのデータに依存する複雑なクエリへの回答を提供する
- D. トランザクション基幹業務(LOB)アプリケーションにストレージを提供する
Correct Answer: C 🗳️
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文を正しく完成させる答えを選択してください。
Correct Answer:
See the answer in explanation below.
Explanation:
Answer below as:
データウェアハウスからデータを読み取る品質保証アプリケーションがあります。
アプリケーションはどのタイプの処理を使用しますか?
- A. オンライントランザクション処理(OLTP)
- B. バッチ処理
- C. ストリーム処理
- D. オンライン分析処理(OLAP)
Correct Answer: A 🗳️
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