弊社の高品質の試験問題集を通して、あなたにMicrosoft　DP-201日本語参考試験似合格させ、あなたのIT技能と職業生涯を新たなレベルに押し進めるのは我々の使命です。Microsoft　DP-201日本語参考試験に準備するには、適当の練習は必要です。受験生としてのあなたはMicrosoft　DP-201日本語参考試験に関する高い質量の資料を提供します。 NewValidDumpsのMicrosoftのDP-201日本語参考試験問題資料は質が良くて値段が安い製品です。我々は低い価格と高品質の模擬問題で受験生の皆様に捧げています。 一年以内に、あなたが持っている資料を更新したい限り、NewValidDumpsは最新バージョンの問題集を捧げます。

Azure Data Engineer Associate DP-201 でも、成功へのショートカットがを見つけました。

Azure Data Engineer Associate DP-201日本語参考 - Designing an Azure Data Solution NewValidDumpsはきみの貴重な時間を節約するだけでなく、 安心で順調に試験に合格するのを保証します。 さて、はやく試験を申し込みましょう。NewValidDumpsはあなたを助けることができますから、心配する必要がないですよ。

NewValidDumpsはもっぱらITプロ認証試験に関する知識を提供するのサイトで、ほかのサイト使った人はNewValidDumpsが最高の知識源サイトと比較しますた。NewValidDumpsの商品はとても頼もしい試験の練習問題と解答は非常に正確でございます。

Microsoft DP-201日本語参考 - 準備することが時間と労力がかかります。

DP-201日本語参考認定試験の資格を取得するのは容易ではないことは、すべてのIT職員がよくわかっています。しかし、DP-201日本語参考認定試験を受けて資格を得ることは自分の技能を高めてよりよく自分の価値を証明する良い方法ですから、選択しなければならならないです。ところで、受験生の皆さんを簡単にIT認定試験に合格させられる方法がないですか。もちろんありますよ。NewValidDumpsの問題集を利用することは正にその最良の方法です。NewValidDumpsはあなたが必要とするすべてのDP-201日本語参考参考資料を持っていますから、きっとあなたのニーズを満たすことができます。NewValidDumpsのウェブサイトに行ってもっとたくさんの情報をブラウズして、あなたがほしい試験DP-201日本語参考参考書を見つけてください。

NewValidDumpsがもっと早くMicrosoftのDP-201日本語参考認証試験に合格させるサイトで、MicrosoftのDP-201日本語参考認証試験についての問題集が市場にどんどん湧いてきます。あなたがまだ専門知識と情報技術を証明しています強い人材で、NewValidDumpsのMicrosoftのDP-201日本語参考認定試験について最新の試験問題集が君にもっとも助けていますよ。

DP-201 PDF DEMO:

QUESTION NO: 1
You have a Windows-based solution that analyzes scientific data. You are designing a cloud- based solution that performs real-time analysis of the data.
You need to design the logical flow for the solution.
Which two actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Send data from the application to Azure Data Lake Storage.
B. Use an Azure Stream Analytics job in the cloud. Ingress data from an Azure Event Hub instance and build queries that output to Azure Data Lake Storage.
C. Use an Azure Stream Analytics job on an edge device. Ingress data from an Azure Data Factory instance and build queries that output to Power BI.
D. Send data from the application to an Azure Stream Analytics job.
E. Send data from the application to an Azure Event Hub instance.
F. Use an Azure Stream Analytics job in the cloud. Ingress data from the Azure Event Hub instance and build queries that output to Power BI.
Answer: E,F
Explanation
Stream Analytics has first-class integration with Azure data streams as inputs from three kinds of resources:
Azure Event Hubs
Azure IoT Hub
Azure Blob storage
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-define-inputs

QUESTION NO: 2
You are planning a design pattern based on the Lambda architecture as shown in the exhibit.
Which Azure services should you use f2 or the cold path? To answer, drag the appropriate services to the correct layers. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Layer 2: Azure Data Lake Storage Gen2
Layer 3: Azure SQL Data Warehouse
Azure SQL Data Warehouse can be used for batch processing.
Note: Lambda architectures use batch-processing, stream-processing, and a serving layer to minimize the latency involved in querying big data.
References:
https://azure.microsoft.com/en-us/blog/lambda-architecture-using-azure-cosmosdb-faster- performance-low-tco-l
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch- processing

QUESTION NO: 3
Which consistency level should you use for Health Interface?
A. Strong
B. Bounded Staleness
C. Session
D. Consistent Prefix
Answer: A
Explanation
Scenario: ADatum identifies the following requirements for the Health Interface application:
reads must display be the most recent committed version of an item.
Azure Cosmos DB consistency levels include:
Strong: Strong consistency offers a linearizability guarantee. Linearizability refers to serving requests concurrently. The reads are guaranteed to return the most recent committed version of an item. A client never sees an uncommitted or partial write. Users are always guaranteed to read the latest committed write.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels

QUESTION NO: 4
You are designing a solution that will use Azure Table storage. The solution will log records in the following entity.
You are evaluating which partition key to use based on the following two scenarios:
* Scenario1: Minimize hotspots under heavy write workloads.
* Scenario2: Ensure that date lookups are as efficient as possible for read workloads.
Which partition key should you use for each scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
References:
https://docs.microsoft.com/en-us/rest/api/storageservices/designing-a-scalable-partitioning- strategy-for-azure-tab

QUESTION NO: 5
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing an HDInsight/Hadoop cluster solution that uses Azure Data Lake Gen1 Storage.
The solution requires POSIX permissions and enables diagnostics logging for auditing.
You need to recommend solutions that optimize storage.
Proposed Solution: Implement compaction jobs to combine small files into larger files.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation
Depending on what services and workloads are using the data, a good size to consider for files is 256
MB or greater. If the file sizes cannot be batched when landing in Data Lake Storage Gen1, you can have a separate compaction job that combines these files into larger ones.
Note: POSIX permissions and auditing in Data Lake Storage Gen1 comes with an overhead that becomes apparent when working with numerous small files. As a best practice, you must batch your data into larger files versus writing thousands or millions of small files to Data Lake Storage Gen1.
Avoiding small file sizes can have multiple benefits, such as:
Lowering the authentication checks across multiple files
Reduced open file connections
Faster copying/replication
Fewer files to process when updating Data Lake Storage Gen1 POSIX permissions References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices

君がMicrosoftのMicrosoft AZ-800問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。 Netskope NSK101認定試験はMicrosoftの中に重要な認証試験の一つですが、NewValidDumpsにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってMicrosoft Netskope NSK101認証試験に参加する方に対して問題集を研究続けています。 弊社のソフトを使用して、ほとんどのお客様は難しいと思われているMicrosoftのSnowflake SnowPro-Core試験に順調に剛角しました。 NewValidDumpsが提供した最も依頼できるトレーニングの問題と解答はあなたが気楽にMicrosoftのOracle 1z0-071の認証試験を受かることに助けを差し上げます。 Microsoft SC-300J - これをよくできるために、我々は全日24時間のサービスを提供します。

Updated: May 28, 2022