Open the auxiliary access

Firefly Open Source Community

   Login   |   Register   |
New_Topic
Firefly Open Source Community › Embedded Computer › IPC-M10R800-A3288C› Reliable Download DP-203 Demo, Ensure to pass the DP ...
New Topic
Print Previous Topic Next Topic

[General] Reliable Download DP-203 Demo, Ensure to pass the DP-203 Exam

arthurr144

130

Credits

0

Prestige

0

Contribution

registered members

Rank: 2

Credits
130

【General】 Reliable Download DP-203 Demo, Ensure to pass the DP-203 Exam

Posted at yesterday 05:35      View：2 | Replies：0        Print      Only Author   [Copy Link] 1#
BTW, DOWNLOAD part of ITexamReview DP-203 dumps from Cloud Storage: https://drive.google.com/open?id=1RejrRYKBp9rcxdzWzmOeuNV6-uREzh0I
Whether you are a student at school or a busy employee at the company even a busy housewife, if you want to improve or prove yourself, as long as you use our DP-203 guide materials, you will find how easy it is to pass the DP-203 Exam and it only will take you a couple of hours to obtain the certification. With our DP-203 study questions for 20 to 30 hours, and you will be ready to sit for your coming exam and pass it without difficulty.
Microsoft DP-203 (Data Engineering on Microsoft Azure) Certification Exam is a highly valued certification for professionals working in the data engineering domain. It is an ideal certification for data engineers, data architects, and data scientists who want to showcase their expertise in working with Azure data technologies. With the right preparation and study, candidates can pass this certification exam and advance their careers in the data engineering field.
Three Easy-to-Use and Compatible ITexamReview Microsoft DP-203 Exam QuestionsTo keep pace with the times, we believe science and technology can enhance the way people study. Especially in such a fast-pace living tempo, we attach great importance to high-efficient learning. Therefore, our DP-203 study materials base on the past exam papers and the current exam tendency, and design such an effective simulation function to place you in the Real DP-203 Exam environment. We promise to provide a high-quality simulation system with advanced DP-203 study materials to help you pass the exam with ease.
Microsoft Data Engineering on Microsoft Azure Sample Questions (Q80-Q85):NEW QUESTION # 80
You need to design a data ingestion and storage solution for the Twitter feeds. The solution must meet the customer sentiment analytics requirements.
What should you include in the solution? To answer, select the appropriate options in the answer area NOTE: Each correct selection b worth one point.

Answer:
Explanation:

Reference:
https://docs.microsoft.com/en-us ... event-hubs-features
https://docs.microsoft.com/en-us ... rage-access-control

NEW QUESTION # 81
You are designing a highly available Azure Data Lake Storage solution that will include geo-zone-redundant storage (GZRS).
You need to monitor for replication delays that can affect the recovery point objective (RPO).
What should you include in the monitoring solution?
  • A. availability
  • B. Last Sync Time
  • C. Average Success E2E Latency
  • D. 5xx: Server Error errors
Answer: B
Explanation:
Because geo-replication is asynchronous, it is possible that data written to the primary region has not yet been written to the secondary region at the time an outage occurs. The Last Sync Time property indicates the last time that data from the primary region was written successfully to the secondary region. All writes made to the primary region before the last sync time are available to be read from the secondary location. Writes made to the primary region after the last sync time property may or may not be available for reads yet.
Reference:
https://docs.microsoft.com/en-us ... /last-sync-time-get
Topic 1, Litware, inc.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. owns and operates 300 convenience stores across the US. The company sells a variety of packaged foods and drinks, as well as a variety of prepared foods, such as sandwiches and pizzas.
Litware has a loyalty club whereby members can get daily discounts on specific items by providing their membership number at checkout.
Litware employs business analysts who prefer to analyze data by using Microsoft Power BI, and data scientists who prefer analyzing data in Azure Databricks notebooks.
Requirements
Business Goals
Litware wants to create a new analytics environment in Azure to meet the following requirements:
See inventory levels across the stores. Data must be updated as close to real time as possible.
Execute ad hoc analytical queries on historical data to identify whether the loyalty club discounts increase sales of the discounted products.
Every four hours, notify store employees about how many prepared food items to produce based on historical demand from the sales data.
Technical Requirements
Litware identifies the following technical requirements:
Minimize the number of different Azure services needed to achieve the business goals.
Use platform as a service (PaaS) offerings whenever possible and avoid having to provision virtual machines that must be managed by Litware.
Ensure that the analytical data store is accessible only to the company's on-premises network and Azure services.
Use Azure Active Directory (Azure AD) authentication whenever possible.
Use the principle of least privilege when designing security.
Stage Inventory data in Azure Data Lake Storage Gen2 before loading the data into the analytical data store. Litware wants to remove transient data from Data Lake Storage once the data is no longer in use. Files that have a modified date that is older than 14 days must be removed.
Limit the business analysts' access to customer contact information, such as phone numbers, because this type of data is not analytically relevant.
Ensure that you can quickly restore a copy of the analytical data store within one hour in the event of corruption or accidental deletion.
Planned Environment
Litware plans to implement the following environment:
The application development team will create an Azure event hub to receive real-time sales data, including store number, date, time, product ID, customer loyalty number, price, and discount amount, from the point of sale (POS) system and output the data to data storage in Azure.
Customer data, including name, contact information, and loyalty number, comes from Salesforce, a SaaS application, and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
Product data, including product ID, name, and category, comes from Salesforce and can be imported into Azure once every eight hours. Row modified dates are not trusted in the source table.
Daily inventory data comes from a Microsoft SQL server located on a private network.
Litware currently has 5 TB of historical sales data and 100 GB of customer data. The company expects approximately 100 GB of new data per month for the next year.
Litware will build a custom application named FoodPrep to provide store employees with the calculation results of how many prepared food items to produce every four hours.
Litware does not plan to implement Azure ExpressRoute or a VPN between the on-premises network and Azure.

NEW QUESTION # 82
You have an Azure Storage account and a data warehouse in Azure Synapse Analytics in the UK South region.
You need to copy blob data from the storage account to the data warehouse by using Azure Data Factory. The solution must meet the following requirements:
* Ensure that the data remains in the UK South region at all times.
* Minimize administrative effort.
Which type of integration runtime should you use?
  • A. Self-hosted integration runtime
  • B. Azure-SSIS integration runtime
  • C. Azure integration runtime
Answer: C
Explanation:

Reference:
https://docs.microsoft.com/en-us ... integration-runtime

NEW QUESTION # 83
You have an Azure Data Lake Storage Gen2 container.
Data is ingested into the container, and then transformed by a data integration application. The data is NOT modified after that. Users can read files in the container but cannot modify the files.
You need to design a data archiving solution that meets the following requirements:
* New data is accessed frequently and must be available as quickly as possible.
* Data that is older than five years is accessed infrequently but must be available within one second when requested.
* Data that is older than seven years is NOT accessed. After seven years, the data must be persisted at the lowest cost possible.
* Costs must be minimized while maintaining the required availability.
How should you manage the data? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point

Answer:
Explanation:

Explanation

Box 1: Move to cool storage
Box 2: Move to archive storage
Archive - Optimized for storing data that is rarely accessed and stored for at least 180 days with flexible latency requirements, on the order of hours.
The following table shows a comparison of premium performance block blob storage, and the hot, cool, and archive access tiers.

Reference:
https://docs.microsoft.com/en-us ... -blob-storage-tiers Explanation:
Box 1: Replicated
Replicated tables are ideal for small star-schema dimension tables, because the fact table is often distributed on a column that is not compatible with the connected dimension tables. If this case applies to your schema, consider changing small dimension tables currently implemented as round-robin to replicated.
Box 2: Replicated
Box 3: Replicated
Box 4: Hash-distributed
For Fact tables use hash-distribution with clustered columnstore index. Performance improves when two hash tables are joined on the same distribution column.
Reference:
https://azure.microsoft.com/en-u ... e-efficient-with-th
https://azure.microsoft.com/en-u ... sql-data-warehouse/

NEW QUESTION # 84
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Answer:
Explanation:

Explanation

Step 1: Create an Azure Storage account that has a lifecycle policy
To automate common data management tasks, Microsoft created a solution based on Azure Data Factory. The service, Data Lifecycle Management, makes frequently accessed data available and archives or purges other data according to retention policies. Teams across the company use the service to reduce storage costs, improve app performance, and comply with data retention policies.
Step 2: Create a Log Analytics workspace that has Data Retention set to 120 days.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets, such as a Storage Account: Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
Step 3: From Azure Portal, add a diagnostic setting.
Step 4: Send the data to a log Analytics workspace,
Event Hub: A pipeline that transfers events from services to Azure Data Explorer.
Keeping Azure Data Factory metrics and pipeline-run data.
Configure diagnostic settings and workspace.
Create or add diagnostic settings for your data factory.
* In the portal, go to Monitor. Select Settings > Diagnostic settings.
* Select the data factory for which you want to set a diagnostic setting.
* If no settings exist on the selected data factory, you're prompted to create a setting. Select Turn on diagnostics.
* Give your setting a name, select Send to Log Analytics, and then select a workspace from Log Analytics Workspace.
* Select Save.
Reference:
https://docs.microsoft.com/en-us ... using-azure-monitor

NEW QUESTION # 85
......
We provide online customer service to the customers for 24 hours per day and we provide professional personnel to assist the client in the long distance online. If you have any questions and doubts about the Data Engineering on Microsoft Azure guide torrent we provide before or after the sale, you can contact us and we will send the customer service and the professional personnel to help you solve your issue about using DP-203 Exam Materials. The client can contact us by sending mails or contact us online. We will solve your problem as quickly as we can and provide the best service. Our after-sales service is great as we can solve your problem quickly and won’t let your money be wasted. If you aren’t satisfied with our DP-203 exam torrent you can return back the product and refund you in full.
Question DP-203 Explanations: https://www.itexamreview.com/DP-203-exam-dumps.html
BTW, DOWNLOAD part of ITexamReview DP-203 dumps from Cloud Storage: https://drive.google.com/open?id=1RejrRYKBp9rcxdzWzmOeuNV6-uREzh0I
https://www.braindumpquiz.com
Reply

Use props Report

Return to List
High mode
B Color Image Link Quote Code Smilies
You need to log in before you can reply Login | Register

This forum Credits Rules

  •  

Service Hotline : (+86)18688117175
Contact us
E-mail : global@t-firefly.com
Copyright © 2014-2022, FIREFLY TECHNOLOGY CO.,LTD. All Rightts Reserved. 粤ICP备14022046号-2
Quick Reply Back to top Back to list