Preparing for the DP-900 certification exam? Looking for resources to help you study? Exam dumps, collections of questions and answers shared online by previous exam-takers, can be a popular choice. In this post, we’ll explore the various DP-900 exam dumps available online and review their potential relevance to the actual exam. Links are also provided to the original sources for your convenience. So, let’s get started and see how these dumps can help you prepare for your exam.
- To proceed to part two, click here.
- To proceed to part three, click here.
- To proceed to the final part, click here.
We hope that this guide will be helpful to you as you prepare for the DP-900 certification exam. Good luck with your studies!
Question # 1
To complete the sentence, select the appropriate option in the answer area.
Description Analytics tells you what happened in the past.
Diagnostic Analytics helps you understand why something happened in the past.
Diagnostic analytics ask about the present. They drill down into why something has happened and help users diagnose issues.
Descriptive analytics ask about the past. They want to know what has been happening to the business and how this is likely to affect future sales.
- Descriptive – to answer the question: What’s happening?
- Diagnostic – to answer the question: Why’s happening?
- Predictive – to answer the question: What will happen?
- Prescriptive – to answer the question: What actions should we take?
Question # 2
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
- No
- Yes
- Yes
Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency.
Question # 3
To complete the sentence, select the appropriate option in the answer area.
Data that is fully processed before being loaded to the target data store.
Extract, transform, and load (ETL) is a data pipeline used to collect data from various sources, transform the data according to business rules, and load it into a destination data store.
Question # 4
To complete the sentence, select the appropriate option in the answer area.
Latency is expected.
Azure Batch is especially well-suited to running large-scale parallel and high-performance computing (HPC) batch jobs. The service handles everything for you — managing and scheduling all the nodes and applications required to run your scenarios. And it’s a free service, so you only pay for the underlying compute, storage, and networking resources that you use.
Question # 5
To complete the sentence, select the appropriate option in the answer area.
Cognitive.
Transcribe means converting from Audio to Text. This is similar to Alexa, Alexa is a Cognitive device. Cognitive is the correct answer.
Question # 6
To complete the sentence, select the appropriate option in the answer area.
- Diagnostic
- Prescriptive
- Descriptive
- Descriptive – to answer the question: What’s happening?
- Diagnostic – to answer the question: Why’s happening?
- Predictive – to answer the question: What will happen?
- Prescriptive – to answer the question: What actions should we take?
Question # 7
Your company uses both relational and non-relational data. You need to determine which tools are suitable for each of the following tasks.
What tools should you use? To answer, drag the appropriate option to the correct task. Each option may be used once, more than once, or not at all.
- Azure Data Factory
- Azure Data Lake Storage
- Azure Synapse Analytics
- You should use Azure Data Factory – to extract data from external sources. Azure Data Factory allows you to extract data from both relational and non-relational data stores.
- You should use Azure Data Lake Storage – to maintain relational and NoSQL data in a data store. You can load raw data into Azure Data Lake storage.
- You should use Azure Synapse Analytics – to analyze relational and NoSQL data. You can analyze a high volume of structured and unstructured data with Azure Synapse Analytics.
Question # 8
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
- Yes
- No
- Yes
- Azure Databricks – is an analytics platform based on Apache Spark.
- Azure Data bricks – can handle batch and stream processing.
- Azure Databricks – provides an interactive workspace for exploration and data visualization. You can run notebooks in R, Python, Scala, or SQL, and interact with the data very quickly.
Question # 9
To complete the sentence, select the appropriate option in the answer area.
Distribute processing across compute nodes.
Question # 10
To complete the sentence, select the appropriate option in the answer area.
A clustered index.
Clustered indexes sort and store the data rows in the table or view based on their key values. These are the columns included in the index definition. There can be only one clustered index per table, because the data rows themselves can be stored in only one order.
