NewValidDumpsはこの問題を着々解決できますよ。IT専門家がMicrosoftのDP-201資格参考書認定試験に関する特別な問題集を開発しています。それをもって、試験は問題になりませんよ。 あるいは、無料で試験DP-201資格参考書問題集を更新してあげるのを選択することもできます。こんな保障がありますから、心配する必要は全然ないですよ。 NewValidDumpsは一番よい、一番実用的な、一番完全な試験トレーニング資料を提供していますから、受験生たちが試験を準備することに意重要な助けになります。

Azure Data Engineer Associate DP-201 正しい方法は大切です。

Azure Data Engineer Associate DP-201資格参考書 - Designing an Azure Data Solution 受験生は問題を選べ、テストの時間もコントロールできます。 NewValidDumpsは多くの受験生を助けて彼らにMicrosoftのDP-201 対応資料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 対応資料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 対応資料試験の資料を更新し続けています。

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Microsoft DP-201資格参考書 - きっと君に失望させないと信じています。

今日、MicrosoftのDP-201資格参考書認定試験は、IT業界で多くの人に重視されています、それは、IT能力のある人の重要な基準の目安となっています。多くの人はMicrosoftのDP-201資格参考書試験への準備に悩んでいます。この記事を読んだあなたはラッキーだと思います。あなたは最高の方法を探しましたから。私たちの強力なNewValidDumpsチームの開発するMicrosoftのDP-201資格参考書ソフトを使用して試験に保障があります。まだ躊躇？最初に私たちのソフトウェアのデモを無料でダウンロードしよう。

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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 plan to store delimited text files in an Azure Data Lake Storage account that will be organized into department folders.
You need to configure data access so that users see only the files in their respective department folder.
Solution: From the storage account, you disable a hierarchical namespace, and you use access control lists (ACLs).
Does this meet the goal?
A. Yes
B. No
Answer: A
Explanation
Azure Data Lake Storage implements an access control model that derives from HDFS, which in turn derives from the POSIX access control model.
Blob container ACLs does not support the hierarchical namespace, so it must be disabled.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-known-issues
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-access-control

QUESTION NO: 2
You are designing a data processing solution that will run as a Spark job on an HDInsight cluster. The solution will be used to provide near real-time information about online ordering for a retailer.
The solution must include a page on the company intranet that displays summary information.
The summary information page must meet the following requirements:
* Display a summary of sales to date grouped by product categories, price range, and review scope.
* Display sales summary information including total sales, sales as compared to one day ago and sales as compared to one year ago.
* Reflect information for new orders as quickly as possible.
You need to recommend a design for the solution.
What should you recommend? To answer, select the appropriate configuration in the answer area.
Answer:
Explanation
Box 1: DataFrame
DataFrames
Best choice in most situations.
Provides query optimization through Catalyst.
Whole-stage code generation.
Direct memory access.
Low garbage collection (GC) overhead.
Not as developer-friendly as DataSets, as there are no compile-time checks or domain object programming.
Box 2: parquet
The best format for performance is parquet with snappy compression, which is the default in Spark
2.x.
Parquet stores data in columnar format, and is highly optimized in Spark.

QUESTION NO: 3
You need to recommend a security solution for containers in Azure Blob storage. The solution must ensure that only read permissions are granted to a specific user for a specific container.
What should you include in the recommendation?
A. public read access for blobs only
B. access keys
C. shared access signatures (SAS)
D. an RBAC role in Azure Active Directory (Azure AD)
Answer: C
Explanation
You can delegate access to read, write, and delete operations on blob containers, tables, queues, and file shares that are not permitted with a service SAS.
Note: A shared access signature (SAS) provides secure delegated access to resources in your storage account without compromising the security of your data. With a SAS, you have granular control over how a client can access your data. You can control what resources the client may access, what permissions they have on those resources, and how long the SAS is valid, among other parameters.

QUESTION NO: 4
You need to design the disaster recovery solution for customer sales data analytics.
Which three actions should you recommend? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Use Geo-redundant storage.
B. Use zone redundant storage.
C. Provision multiple Azure Databricks workspaces in separate Azure regions.
D. Migrate users, notebooks, and cluster configurations from one workspace to another in the same region.
E. Provision a second Azure Databricks workspace in the same region.
F. Migrate users, notebooks, and cluster configurations from one region to another.
Answer: A,C,F
Explanation
Scenario: The analytics solution for customer sales data must be available during a regional outage.
To create your own regional disaster recovery topology for databricks, follow these requirements:
1. Provision multiple Azure Databricks workspaces in separate Azure regions
2. Use Geo-redundant storage.
3. Once the secondary region is created, you must migrate the users, user folders, notebooks, cluster configuration, jobs configuration, libraries, storage, init scripts, and reconfigure access control.
Note: Geo-redundant storage (GRS) is designed to provide at least 99.99999999999999% (16 9's) durability of objects over a given year by replicating your data to a secondary region that is hundreds of miles away from the primary region. If your storage account has GRS enabled, then your data is durable even in the case of a complete regional outage or a disaster in which the primary region isn't recoverable.
References:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy-grs

QUESTION NO: 5
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

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Updated: May 28, 2022