NewValidDumpsの専門家チームがMicrosoftのDP-201資格参考書認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。MicrosoftのDP-201資格参考書「Designing an Azure Data Solution」認証試験に参加者に対して30時間ぐらいの短期の育成訓練でらくらくに勉強しているうちに多くの知識を身につけられます。 あなたは無料でDP-201資格参考書復習教材をダウンロードしたいですか？もちろん、回答ははいです。だから、あなたはコンピューターでMicrosoftのウエブサイトを訪問してください。 試験の準備は時間とエネルギーがかかります。

Azure Data Engineer Associate DP-201 これは試験に合格した受験生の一人が言ったのです。

NewValidDumpsは実際の環境で本格的なMicrosoftのDP-201 - Designing an Azure Data Solution資格参考書「Designing an Azure Data Solution」の試験の準備過程を提供しています。 でも、受かることが難しいですから、トレーニングツールを利用するのを勧めます。トレーニング資料を選びたいのなら、NewValidDumpsのMicrosoftのDP-201 最新テスト試験トレーニング資料は最高の選択です。

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資格参考書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資格参考書試験問題資料は質が良くて値段が安い製品です。

Microsoft DP-201資格参考書 - 」とゴーリキーは述べました。

NewValidDumpsはあなたに素晴らしい資料を提供するだけでなく、良いサービスも提供してあげます。NewValidDumpsの試験DP-201資格参考書問題集を購入したら、NewValidDumpsは無料で一年間のアップデートを提供します。すると、あなたがいつでも最新のDP-201資格参考書試験情報を持つことができます。それに、万一の場合、問題集を利用してからやはり試験に失敗すれば、NewValidDumpsは全額返金のことを約束します。こうすれば、まだ何を心配しているのですか。心配する必要がないでしょう。NewValidDumpsは自分の資料に十分な自信を持っていますから、あなたもNewValidDumpsを信じたほうがいいです。あなたのDP-201資格参考書試験の成功のために、NewValidDumpsをミスしないでください。NewValidDumpsをミスすれば、あなたが成功するチャンスを見逃したということになります。

きっと望んでいるでしょう。では、常に自分自身をアップグレードする必要があります。

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

ここで言いたいのは、どのようにすれば効率的にSalesforce Sales-Cloud-Consultant-JPN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。 SAP C-TS462-2022-KR - 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。 難しいISTQB CT-TAE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。 Oracle 1z0-071-JPN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。 Cisco 300-630 - 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。

Updated: May 28, 2022