DP-201日本語的中対策試験参考書の内容は全面的で、わかりやすいです。そのほかに、DP-201日本語的中対策試験の合格率は高い、多くの受験者が試験に合格しました。だから、弊社のDP-201日本語的中対策試験参考書はいろいろな資料の中で目立っています。 NewValidDumpsのMicrosoftのDP-201日本語的中対策試験トレーニング資料を手に入れたら、我々は一年間の無料更新サービスを提供します。それはあなたがいつでも最新の試験資料を持てるということです。 弊社の勉強の商品を選んで、多くの時間とエネルギーを節約こともできます。

Azure Data Engineer Associate DP-201 常々、時間とお金ばかり効果がないです。

Azure Data Engineer Associate DP-201日本語的中対策 - Designing an Azure Data Solution もっと長い時間をもらって試験を準備したいのなら、あなたがいつでもサブスクリプションの期間を伸びることができます。 NewValidDumpsは多くの受験生を助けて彼らにMicrosoftのDP-201 問題と解答試験に合格させることができるのは我々専門的なチームがMicrosoftのDP-201 問題と解答試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はMicrosoftのDP-201 問題と解答試験の資料を更新し続けています。

それはあなたが成功認定を助ける良いヘルパーですから、あなたはまだ何を待っているのですか。速く最新のNewValidDumpsのMicrosoftのDP-201日本語的中対策トレーニング資料を取りに行きましょう。現在、IT業界での激しい競争に直面しているあなたは、無力に感じるでしょう。

Microsoft DP-201日本語的中対策 - 暇の時間を利用して勉強します。

MicrosoftのDP-201日本語的中対策認定試験と言ったら、人々は迷っています。異なる考えがありますが、要約は試験が大変難しいことです。MicrosoftのDP-201日本語的中対策認定試験は確かに難しい試験ですが、NewValidDumps を選んだら、これは大丈夫です。NewValidDumpsのMicrosoftのDP-201日本語的中対策試験トレーニング資料は受験生としてのあなたが欠くことができない資料です。それは受験生のために特別に作成したものですから、１００パーセントの合格率を保証します。信じないになら、NewValidDumpsのサイトをクリックしてください。購入する人々が大変多いですから、あなたもミスしないで速くショッピングカートに入れましょう。

そして、DP-201日本語的中対策試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。DP-201日本語的中対策試験参考書があれば,ほかの試験参考書を勉強する必要がないです。

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
You plan to ingest streaming social media data by using Azure Stream Analytics. The data will be stored in files in Azure Data Lake Storage, and then consumed by using Azure Databricks and
PolyBase in Azure SQL Data Warehouse.
You need to recommend a Stream Analytics data output format to ensure that the queries from
Databricks and PolyBase against the files encounter the fewest possible errors. The solution must ensure that the files can be queried quickly and that the data type information is retained.
What should you recommend?
A. Parquet
B. JSON
C. CSV
D. Avro
Answer: D
Explanation
The Avro format is great for data and message preservation.
Avro schema with its support for evolution is essential for making the data robust for streaming architectures like Kafka, and with the metadata that schema provides, you can reason on the data.
Having a schema provides robustness in providing meta-data about the data stored in Avro records which are self-documenting the data.
References:
http://cloudurable.com/blog/avro/index.html

QUESTION NO: 3
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: 4
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: 5
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

NewValidDumpsのCompTIA DA0-001問題集を使用することが最善の方法の一つです。 SAP C_S43_2022 - この試験に合格すれば君の専門知識がとても強いを証明し得ます。 SAP C-SIGPM-2403 - この試験が非常に困難ですが、実は試験の準備時に一生懸命である必要はありません。 きみはMicrosoftのMicrosoft SC-100J認定テストに合格するためにたくさんのルートを選択肢があります。 CompTIA N10-008 - しかし、難しい試験といっても、試験を申し込んで受験する人が多くいます。

Updated: May 28, 2022