そうしたら資料の高品質を知ることができ、一番良いものを選んだということも分かります。MicrosoftのDP-201日本語版復習資料試験に受かることは確かにあなたのキャリアに明るい未来を与えられます。MicrosoftのDP-201日本語版復習資料試験に受かったら、あなたの技能を検証できるだけでなく、あなたが専門的な豊富の知識を持っていることも証明します。 NewValidDumpsのDP-201日本語版復習資料教材を購入したら、あなたは一年間の無料アップデートサービスを取得しました。試験問題集が更新されると、NewValidDumpsは直ちにあなたのメールボックスにDP-201日本語版復習資料問題集の最新版を送ります。 違った選択をしたら違った結果を取得しますから、選択は非常に重要なことです。

Azure Data Engineer Associate DP-201 また、受験生からいろいろな良い評価を得ています。

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DP-201 - Designing an Azure Data Solution日本語版復習資料試験に順調に剛角しました。 私を信じていないなら、周りの人々に聞いてみてもいいです。NewValidDumpsの試験問題集を利用したことがある人がきっといますから。

試験に失敗したら、全額で返金する承諾があります。だから、MicrosoftのDP-201日本語版復習資料試験に合格したいあなたは安心で弊社の商品を選べばいいんです。我々のMicrosoftのDP-201日本語版復習資料ソフトを利用してお客様の高通過率及び我々の技術の高いチームで、我々は自信を持って我々NewValidDumpsは専門的なのだと言えます。

Microsoft DP-201日本語版復習資料 - 問題集の品質を自分自身で確かめましょう。

暇な時間だけでMicrosoftのDP-201日本語版復習資料試験に合格したいのですか。我々の提供するPDF版のMicrosoftのDP-201日本語版復習資料試験の資料はあなたにいつでもどこでも読めさせます。我々もオンライン版とソフト版を提供します。すべては豊富な内容があって各自のメリットを持っています。あなたは各バーションのMicrosoftのDP-201日本語版復習資料試験の資料をダウンロードしてみることができ、あなたに一番ふさわしいバーションを見つけることができます。

私たちのMicrosoftのDP-201日本語版復習資料問題集があれば、君は少ない時間で勉強して、MicrosoftのDP-201日本語版復習資料認定試験に簡単に合格できます。うちの商品を購入した後、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。

DP-201 PDF DEMO:

QUESTION NO: 1
You have an on-premises data warehouse that includes the following fact tables. Both tables have the following columns: DataKey, ProductKey, RegionKey. There are 120 unique product keys and 65 unique region keys.
Queries that use the data warehouse take a long time to complete.
You plan to migrate the solution to use Azure SQL Data Warehouse. You need to ensure that the
Azure-based solution optimizes query performance and minimizes processing skew.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation
Box 1: Hash-distributed
Box 2: ProductKey
ProductKey is used extensively in joins.
Hash-distributed tables improve query performance on large fact tables.
Box 3: Round-robin
Box 4: RegionKey
Round-robin tables are useful for improving loading speed.
Consider using the round-robin distribution for your table in the following scenarios:
* When getting started as a simple starting point since it is the default
* If there is no obvious joining key
* If there is not good candidate column for hash distributing the table
* If the table does not share a common join key with other tables
* If the join is less significant than other joins in the query
* When the table is a temporary staging table
Note: A distributed table appears as a single table, but the rows are actually stored across 60 distributions. The rows are distributed with a hash or round-robin algorithm.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-distribute

QUESTION NO: 2
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

QUESTION NO: 3
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: 4
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: 5
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

我々NewValidDumpsはMicrosoftのMicrosoft AZ-800試験問題集をリリースする以降、多くのお客様の好評を博したのは弊社にとって、大変な名誉なことです。 NewValidDumpsのMicrosoftのNutanix NCP-DB試験トレーニング資料を手に入れたら、輝い職業生涯を手に入れるのに等しくて、成功の鍵を手に入れるのに等しいです。 たとえば、ベストセラーのMicrosoft　Salesforce Advanced-Administrator-JPN問題集は過去のデータを分析して作成ます。 もし君はいささかな心配することがあるなら、あなたはNewValidDumpsの MicrosoftのEMC D-CI-DS-23試験トレーニング資料を購入する前に、NewValidDumpsは無料でサンプルを提供することができますし、絶対に失望させません。 SAP C_SIGPM_2403問題集を利用して試験に合格できます。

Updated: May 28, 2022