BTW, DOWNLOAD part of VCEDumps DP-203 dumps from Cloud Storage: https://drive.google.com/open?id=1w73E5wlbC5eFyniwMKskOhiRQgJOrGyX
Our company has established a long-term partnership with those who have purchased our DP-203 exam guides. We have made all efforts to update our product in order to help you deal with any change, making you confidently take part in the exam. We will inform you that the DP-203 Study Materials should be updated and send you the latest version in a year after your payment. We will also provide some discount for your updating after a year if you are satisfied with our DP-203 exam prepare.
Certification Topics of Microsoft DP-203 Exam
-
Monitor and optimize data storage and data processing (10-15%)
-
Design and implement data security (10-15%)
-
Design and implement data storage (40-45%)
-
Design and develop data processing (25-30%)
Free PDF Accurate DP-203 – Data Engineering on Microsoft Azure Exam Topics
For certificates who will attend the exam, some practice is evitable. But sometimes, time for preparation is quite urgent. DP-203 exam braindumps of us will help you to use the least time to pass the exam. If you choose the DP-203 exam dumps of us, you just need to spend about 48 to 72 hours to practice and you can pass the exam successfully. In addition, DP-203 Exam Dumps are verified by experienced experts, and the accuracy and correctness can be guaranteed. And we pass guarantee and money back guarantee if can’t pass the exam.
Microsoft Data Engineering on Microsoft Azure Sample Questions (Q150-Q155):
NEW QUESTION # 150
You have an Azure Data Lake Storage account that contains a staging zone.
You need to design a dairy process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the data to a staging table in the data warehouse, and then uses a stored procedure to execute the R script.
Does this meet the goal?
- A. Yes
- B. No
Answer: A
Explanation:
Explanation
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity with your own data processing logic and use the activity in the pipeline.
Note: You can use data transformation activities in Azure Data Factory and Synapse pipelines to transform and process your raw data into predictions and insights at scale.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/transform-data
NEW QUESTION # 151
You are designing an Azure Synapse Analytics dedicated SQL pool.
You need to ensure that you can audit access to Personally Identifiable information (PII).
What should you include in the solution?
- A. dynamic data masking
- B. sensitivity classifications
- C. column-level security
- D. row-level security (RLS)
Answer: B
Explanation:
Explanation
Data Discovery & Classification is built into Azure SQL Database, Azure SQL Managed Instance, and Azure Synapse Analytics. It provides basic capabilities for discovering, classifying, labeling, and reporting the sensitive data in your databases.
Your most sensitive data might include business, financial, healthcare, or personal information. Discovering and classifying this data can play a pivotal role in your organization’s information-protection approach. It can serve as infrastructure for:
* Helping to meet standards for data privacy and requirements for regulatory compliance.
* Various security scenarios, such as monitoring (auditing) access to sensitive data.
* Controlling access to and hardening the security of databases that contain highly sensitive data.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/data-discovery-and-classification-overview
NEW QUESTION # 152
You configure monitoring for a Microsoft Azure SQL Data Warehouse implementation. The implementation uses PolyBase to load data from comma-separated value (CSV) files stored in Azure Data Lake Gen 2 using an external table.
Files with an invalid schema cause errors to occur.
You need to monitor for an invalid schema error.
For which error should you monitor?
- A. EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error
[com.microsoft.polybase.client.KerberosSecureLogin] occurred while accessing external files.’ - B. EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error [No FileSystem for scheme: wasbs] occurred while accessing external file.’
- C. Cannot execute the query “Remote Query” against OLE DB provider “SQLNCLI11”: for linked server “(null)”, Query aborted- the maximum reject threshold (o rows) was reached while regarding from an external source: 1 rows rejected out of total 1 rows processed.
- D. EXTERNAL TABLE access failed due to internal error: ‘Java exception raised on call to HdfsBridge_Connect: Error [Unable to instantiate LoginClass] occurred while accessing external files.’
Answer: C
Explanation:
Customer Scenario:
SQL Server 2016 or SQL DW connected to Azure blob storage. The CREATE EXTERNAL TABLE DDL points to a directory (and not a specific file) and the directory contains files with different schemas.
SSMS Error:
Select query on the external table gives the following error:
Msg 7320, Level 16, State 110, Line 14
Cannot execute the query “Remote Query” against OLE DB provider “SQLNCLI11” for linked server “(null)”. Query aborted– the maximum reject threshold (0 rows) was reached while reading from an external source: 1 rows rejected out of total 1 rows processed.
Possible Reason:
The reason this error happens is because each file has different schema. The PolyBase external table DDL when pointed to a directory recursively reads all the files in that directory. When a column or data type mismatch happens, this error could be seen in SSMS.
Possible Solution:
If the data for each table consists of one file, then use the filename in the LOCATION section prepended by the directory of the external files. If there are multiple files per table, put each set of files into different directories in Azure Blob Storage and then you can point LOCATION to the directory instead of a particular file. The latter suggestion is the best practices recommended by SQLCAT even if you have one file per table.
Incorrect Answers:
A: Possible Reason: Kerberos is not enabled in Hadoop Cluster.
Reference:
https://techcommunity.microsoft.com/t5/DataCAT/PolyBase-Setup-Errors-and-Possible-Solutions/ba-p/305297
NEW QUESTION # 153
You are building an Azure Analytics query that will receive input data from Azure IoT Hub and write the results to Azure Blob storage.
You need to calculate the difference in readings per sensor per hour.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/lag-azure-stream-analytics
NEW QUESTION # 154
You have an enterprise data warehouse in Azure Synapse Analytics.
You need to monitor the data warehouse to identify whether you must scale up to a higher service level to accommodate the current workloads Which is the best metric to monitor?
More than one answer choice may achieve the goal. Select the BEST answer.
- A. CPU percentage
- B. Data 10 percentage
- C. DWU used
- D. DWU percentage
Answer: D
NEW QUESTION # 155
……
With infallible content for your reference, our DP-203 study guide contains the newest and the most important exam questions to practice. And our technicals are always trying to update our DP-203 learning quiz to the latest. Only by regular practice can you ingest more useful information than others. And our DP-203 Exam Questions can help you change your fate and choosing our DP-203 preparation materials is foreshadow of your success.
DP-203 Examinations Actual Questions: https://www.vcedumps.com/DP-203-examcollection.html
What’s more, part of that VCEDumps DP-203 dumps now are free: https://drive.google.com/open?id=1w73E5wlbC5eFyniwMKskOhiRQgJOrGyX
