DP-201テスト模擬問題集 資格取得

それはあなたが夢を実現することを助けられます。夢を持ったら実現するために頑張ってください。「信仰は偉大な感情で、創造の力になれます。 努力する人生と努力しない人生は全然違いますなので、あなたはのんびりした生活だけを楽しみしていき、更なる進歩を求めるのではないか?スマートを一方に置いて、我々MicrosoftのDP-201テスト模擬問題集試験問題集をピックアップします。弊社のDP-201テスト模擬問題集試験問題集によって、あなたの心と精神の満足度を向上させながら、勉強した後DP-201テスト模擬問題集試験資格認定書を受け取って努力する人生はすばらしいことであると認識られます。 きっと望んでいるでしょう。

Azure Data Engineer Associate DP-201 給料を倍増させることも不可能ではないです。

Azure Data Engineer Associate DP-201テスト模擬問題集 - Designing an Azure Data Solution あなたはいつでもサブスクリプションの期間を延長することができますから、より多くの時間を取って充分に試験を準備できます。 それがもう現代生活の不可欠な一部となりました。その中で、Microsoftの認証資格は広範な国際的な認可を得ました。

MicrosoftのDP-201テスト模擬問題集認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。当面、IT業界でMicrosoftのDP-201テスト模擬問題集認定試験の信頼できるソースが必要です。NewValidDumpsはとても良い選択で、DP-201テスト模擬問題集の試験を最も短い時間に縮められますから、あなたの費用とエネルギーを節約することができます。

Microsoft DP-201テスト模擬問題集 - まだなにを待っていますか。

DP-201テスト模擬問題集認定試験に合格することは難しいようですね。試験を申し込みたいあなたは、いまどうやって試験に準備すべきなのかで悩んでいますか。そうだったら、下記のものを読んでください。いまDP-201テスト模擬問題集試験に合格するショートカットを教えてあげますから。あなたを試験に一発合格させる素晴らしいDP-201テスト模擬問題集試験に関連する参考書が登場しますよ。それはNewValidDumpsのDP-201テスト模擬問題集問題集です。気楽に試験に合格したければ、はやく試しに来てください。

NewValidDumpsの MicrosoftのDP-201テスト模擬問題集試験トレーニング資料は高度に認証されたIT領域の専門家の経験と創造を含めているものです。その権威性は言うまでもありません。

DP-201 PDF DEMO:

QUESTION NO: 1
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: 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
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: 4
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: 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

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Updated: May 28, 2022

DP-201テスト模擬問題集、DP-201予想試験 - Microsoft DP-201一発合格

PDF問題と解答

試験コード:DP-201
試験名称:Designing an Azure Data Solution
最近更新時間:2024-05-06
問題と解答:全 207
Microsoft DP-201 復習問題集

  ダウンロード


 

模擬試験

試験コード:DP-201
試験名称:Designing an Azure Data Solution
最近更新時間:2024-05-06
問題と解答:全 207
Microsoft DP-201 模擬資料

  ダウンロード


 

オンライン版

試験コード:DP-201
試験名称:Designing an Azure Data Solution
最近更新時間:2024-05-06
問題と解答:全 207
Microsoft DP-201 資格練習

  ダウンロード


 

DP-201 模擬解説集