Microsoft DP-201試験解説「Designing an Azure Data Solution」認証試験に合格することが簡単ではなくて、Microsoft DP-201試験解説証明書は君にとってはIT業界に入るの一つの手づるになるかもしれません。しかし必ずしも大量の時間とエネルギーで復習しなくて、弊社が丹精にできあがった問題集を使って、試験なんて問題ではありません。 試験に受かったら、あなたはIT業界のエリートになることができます。情報技術の進歩と普及につれて、MicrosoftのDP-201試験解説問題集と解答を提供するオンライン·リソースが何百現れています。 今の社会の中で、ネット上で訓練は普及して、弊社は試験問題集を提供する多くのネットの一つでございます。

Azure Data Engineer Associate DP-201 あなたに絶対向いていると信じていますよ。

NewValidDumpsは実際の環境で本格的なMicrosoftのDP-201 - Designing an Azure Data Solution試験解説「Designing an Azure Data Solution」の試験の準備過程を提供しています。 IT認証はIT業種での競争な手段の一つです。認証に受かったらあなたは各方面でよく向上させます。

我々は心からあなたが首尾よく試験に合格することを願っています。あなたに便利なオンラインサービスを提供して、Microsoft DP-201試験解説試験問題についての全ての質問を解決して差し上げます。NewValidDumpsのMicrosoftのDP-201試験解説試験問題資料は質が良くて値段が安い製品です。

Microsoft DP-201試験解説 - きっと望んでいるでしょう。

Microsoftの認定試験は現在とても人気がある試験ですね。この重要な認証資格をもうすでに手に入れましたか。例えば、もう既にDP-201試験解説認定試験を受験したのですか。もしまだ受験していないなら、はやく行動する必要がありますよ。こんなに大切な資格を取らなくてはいけないです。ここで言いたいのは、どのようにすれば効率的にDP-201試験解説認定試験の準備をして一回で試験に合格できるのかということです。

あなたは試験の最新バージョンを提供することを要求することもできます。最新のDP-201試験解説試験問題を知りたい場合、試験に合格したとしてもNewValidDumpsは無料で問題集を更新してあげます。

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

難しいMicrosoft DP-900J認定試験に合格したいなら、試験の準備をするときに関連する参考書を使わないとダメです。 NewValidDumpsはあなたが必要とするすべてのSAP C-CPI-2404参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。 Salesforce CRT-211 - NewValidDumpsを選んだら、あなたは簡単に認定試験に合格することができますし、あなたはITエリートたちの一人になることもできます。 もしMicrosoftのLpi 050-100問題集は問題があれば、或いは試験に不合格になる場合は、全額返金することを保証いたします。 Salesforce B2C-Commerce-Architect - 無料サンプルのご利用によってで、もっと自信を持って認定試験に合格することができます。

Updated: May 28, 2022