Design and Implement Big Data Analytics Solutions (070-475日本語版): 070-475 Exam

"Design and Implement Big Data Analytics Solutions (070-475日本語版)", also known as 070-475 exam, is a Microsoft Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 122 Q&As to your 070-475 Exam preparation. In the 070-475 exam resources, you will cover every field and category in Microsoft Azure Certification helping to ready you for your successful Microsoft Certification.

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  • Updated on: Oct 12, 2026
  • No. of Questions: 122 Questions & Answers

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  • Updated on: Oct 12, 2026
  • No. of Questions: 122 Questions & Answers

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Microsoft 070-475日本語 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Design and Implement Big Data Analytics Solutions
Exam Number:70-475
Related Certifications:Microsoft Specialist: Designing and Implementing Big Data Analytics Solutions
MCSE: Data Management and Analytics
Real Exam Qty:40-60
Certificate Validity Period:Certification retired
Exam Duration:120 minutes
Exam Format:Drag and Drop, Case Study, Multiple Response, Build List, Multiple Choice
Exam Price:$165 USD
Available Languages:English
Passing Score:700/1000
Sample Questions: DOWNLOAD DEMO
Exam Way:Delivered through Pearson VUE testing centers and online proctored testing (while the exam was active).
Pre Condition:No mandatory prerequisite exam. Recommended experience with Azure, HDInsight, Hadoop, Spark, Azure Data Factory, and enterprise analytics solutions.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/

Microsoft 070-475日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement Big Data Processing30%- Data Processing and Analytics
  • 1. Process data with Hadoop ecosystem tools
  • 2. Implement HDInsight solutions
  • 3. Develop data transformation workflows
  • 4. Implement Spark-based analytics
Topic 2: Implement Data Ingestion Solutions25%- Data Acquisition
  • 1. Integrate on-premises and cloud data sources
  • 2. Implement Event Hubs ingestion
  • 3. Implement streaming data collection
  • 4. Implement Azure Data Factory pipelines
Topic 3: Implement Data Visualization and Reporting10%- Business Intelligence
  • 1. Implement dashboards and visualizations
  • 2. Create analytical reports
  • 3. Integrate analytics outputs with reporting platforms
Topic 4: Design Azure Big Data Solutions25%- Solution Architecture
  • 1. Design real-time analytics solutions
  • 2. Design data storage strategies
  • 3. Select appropriate Azure big data services
  • 4. Design batch processing solutions
Topic 5: Manage Security and Operations10%- Administration
  • 1. Monitor big data workloads
  • 2. Optimize performance and scalability
  • 3. Manage operational processes
  • 4. Implement security controls

Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) Questions, Answered by Experience

Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) is an official Microsoft certification exam, listed under the code 070-475日本語. Passing it earns the Microsoft Azure certification at the Specialist level. It also ties into Microsoft Specialist: Designing and Implementing Big Data Analytics Solutions, MCSE: Data Management and Analytics. In an era of lifelong learning, this credential is one of the most efficient ways to prove your skills keep pace.

Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) gives you 40-60 questions across 120 minutes. The efficient approach: one to two hours of daily timed practice in the iPassleader engine builds both the knowledge and the pacing, so exam day feels like simply another well-run session.

Passing Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) takes 700/1000, and the official registration fee is $165 USD. Retakes cost the full $165 USD again, so treat your iPassleader practice scores as the decision-maker: book when the passing line sits below your everyday results, not your best ones.

The Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) syllabus is organized into 5 domains, led by Manage Security and Operations (10%), Implement Data Visualization and Reporting (10%), and Design Azure Big Data Solutions (25%). The complete breakdown is above on this page; it is the fastest way to learn where your limited preparation hours belong.

No mandatory prerequisite exam. Recommended experience with Azure, HDInsight, Hadoop, Spark, Azure Data Factory, and enterprise analytics solutions.

Vendor policies are revised periodically, so verify the current requirements before registering via the official exam page.

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Microsoft Design and Implement Big Data Analytics Solutions (070-475日本語版) Sample Questions:



  • A. Option D
  • B. Option C
  • C. Option B
  • D. Option A
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

  • A. Option D
  • B. Option C
  • C. Option B
  • D. Option A
Reveal Solution  Discussion  0

Correct Answer: C  🗳️




Reveal Solution  Discussion  0

Correct Answer:


Explanation

Box 1: Every three days at 10.00
anchorDateTime defines the absolute position in time used by the scheduler to compute dataset slice boundaries.
"frequency": "<Specifies the time unit for data slice production. Supported frequency: Minute, Hour, Day, Week, Month>",
"interval": "<Specifies the interval within the defined frequency. For example, frequency set to 'Hour' and interval set to 1 indicates that new data slices should be produced hourly> Box 2: Every minute up to three times.
retryInterval is the wait time between a failure and the next attempt. This setting applies to present time. If the previous try failed, the next try is after the retryInterval period.
Example: 00:01:00 (1 minute)
Example: If it is 1:00 PM right now, we begin the first try. If the duration to complete the first validation check is 1 minute and the operation failed, the next retry is at 1:00 + 1min (duration) + 1min (retry interval) =
1:02 PM.
For slices in the past, there is no delay. The retry happens immediately.
retryTimeout is the timeout for each retry attempt.
maximumRetry is the number of times to check for the availability of the external data.


Reveal Solution  Discussion  0

Correct Answer:


Explanation

Box 1: Azure Hdinsight logs
Logs contain historical activities.
Box 2: Azure Data Factory alerts
Box 3: Azure Data Factory events

  • A. Option B
  • B. Option A
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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