Microsoft Azure Data Fundamentals (DP-900) Exam Dumps 2023 Microsoft Azure Data Fundamentals (DP-900) Practice Tests 2022. Contains 480+ exam questions to pass the exam in first attempt. SkillCertPro offers real exam questions for practice for all major IT certifications. For a full set of 48 0+ questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question wh ich helps to understand the concepts better. It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPr o assures 100% pass guarantee in first attempt. Below are the free 10 sample questions. 1. Question Which of the following below statement is true or which one is False? 1. Batch data can process all the data in the dataset. Stream processing typically only has access to the most recent data received, or within a rolling time window (the last 30 seconds, for example) – True or False 2. Stream processing is suitable for handling large datasets efficiently. Batch data is intended for individual records or micro batches consisting of few records. – True or False 3. The latency for Stream processing is typically a few hours. Batch Processing typically occurs immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for the data to be received and processed – True or False 4. You typically use batch processing for performing complex analytics. Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages – True or False What will be the appropriate answer for (3)? A. TRUE B. FALSE Answer: B Explanation: FALSE Performance: The latency for batch processing is typically a few hours. Stream processing typically occurs immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for the data to be received and processed. 2. Question Which of the following below statement is true or which one is False? 1. Batch data can process all the data in the dataset. Stream processing typically only has access to the most recent data received, or within a rolling time window (the last 30 seconds, for example) – True or False 2. Stream processing is suitable for handling large datasets efficiently. Batch data is intended for individual records or micro batches consisting of few records. – True or False 3. The latency for Stream processing is typically a few hours. Batch Processing typically occurs immediately, with latency in the order of seconds or milliseconds. Latency is the time taken for the data to be received and processed – True or False 4. You typically use batch processing for performing complex analytics. Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages – True or False What will be the appropriate answer for (4)? A. TRUE B. FALSE Answer: A Explanation: Analysis: You typically use batch processing for performing complex analytics. Stream processing is used for simple response functions, aggregates, or calculations such as rolling averages. 3. Question Which one of the following roles is a data job role? Select Three choice A. Systems Administrator B. Data Analyst C. Database Administrator D. Data Engineer E. Power Platform Engineer Answer: B, C, D Explanation: Data Analyst Database Administrator Data Engineer Systems administrators deal with infrastructure components such as networks, virtual machines and other physical devices in a data center. DBA Is responsible for maintenance and backups of the SQL, DBs We cannot consider Power Platform Engineer as Data Job role as it involved lot of tools which Data Engineer not required to have knowledge of though Power BI is required but all in all we will not consider this as a Data Role 4. Question Which of the following is considered as DDL SQL Commands? Select one A. Insert B. Create C. Select D. Update Answer: B Explanation: “Create” is the correct Answer DDL or Data Definition Language actually consists of the SQL commands that can be used to define the database schema. It simply deals with descriptions of the database schema and is used to create and modify the structure of database objects in the database. Examples of DDL commands: CREATE – is used to create the database or its objects (like table, index, function, views, store procedure and triggers). DROP – is used to delete objects from the database. ALTER-is used to alter the structure of the database. TRUNCATE – is used to remove all records from a table, including all spaces allocated for the records are removed. COMMENT – is used to add comments to the data dictionary. RENAME – is used to rename an object existing in the database. The SQL commands that deals with the manipulation of data present in the database belong to DML or Data Manipulation Language and this includes most of the SQL statements. Examples of DML: INSERT – is used to insert data into a table. UPDATE – is used to update existing data within a table. DELETE – is used to delete records from a database table. 5. Question Given Below is Json you need to identify the json objects type that will be used in one of the API Azure Cosmos DB { “emp1” : { “EmpName” : “Chris Jackman”, “EmpAge” : “34”, “Company Code” : { “Code” : “10” } {“onetype”:[ {“id”:1,”name”:”John Doe”}, {“id”:2,”name”:”Don Joeh”} ] } } What will be the correct Object type for emp1? A. Nested Object, B. Nested array, C. Root object Answer: C Explanation: Root object is the Correct Answer The API will be used in Cosmos DB like Document API, SQL API etc Explanation https://stackoverflow.com/questions/2098276/nested-json-objects-do-i-have-to-use- arrays-for-everything For a full set of 48 0+ questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPro assures 100% pass guarantee in first attempt. 6. Question Given Below is Json you need to identify the json objects type that will be used in one of the API Azure Cosmos DB { “emp1” : { “EmpName” : “Chris Jackman”, “EmpAge” : “34”, “Company Code” : { “Code” : “10” } {“onetype”:[ {“id”:1,”name”:”John Doe”}, {“id”:2,”name”:”Don Joeh”} ] } } What will be the correct Object type for Code? A. Nested Object B. Nested array C. Root Objects Answer: A Explanation: Correct Answer Nested Object, as the object is nested. https://stackoverflow.com/questions/2098276/nested-json-objects-do-i-have-to-use-arrays-for- everything 7. Question Given Below is Json you need to identify the json objects type that will be used in one of the API Azure Cosmos DB { “emp1” : { “EmpName” : “Chris Jackman”, “EmpAge” : “34”, “Company Code” : { “Code” : “10” } {“onetype”:[ {“id”:1,”name”:”John Doe”}, {“id”:2,”name”:”Don Joeh”} ] } } What will be the correct Object type for onetype? A. Nested Object, B. Nested array C. root object Answer: B Explanation: Nested array is the correct Answer {“onetype”:[ {“id”:1,”name”:”John Doe”}, {“id”:2,”name”:”Don Joeh”} ] If you see the object is in Array as highlighted in Bold. 8. Question You are the Data Engineer in your organization and you will be taking care of the sales part this year and need to develop the strategy for the ongoing sales for the previous months , current and the future month considering in mind that you have the sales data of past 5 year. You need to use Azure Data Services which of the following Analytics services will you use to determine the correct answer and make strategy accordingly. 1. To answer the question: What’s happening in the sales part with the Data ? 2. To answer the question: Why’s happening tha t for certain months the sales increased ? 3. To answer the question: What will happen at the sales front in the coming 2 years ? 4. To answer the question: What actions should we take so that sales will increase? What will be the correct service you use for (1) ? A. Prescriptive B. Predictive C. Diagnostic D. Descriptive E. Cognitive Analytics Answer: D Explanation : 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? Descriptive What’s happening? Monitor the status of machines, devices, products, and assets. Assess if things are going according to plan, or to alert people if anomalies arise. What’s the throughput and utilization of this machine? Are there any anomalies that require immediate attention? How much energy is this machine consuming? How many parts are we producing with this tool? How are customers using our products? Where are my assets? Diagnostic Why is something happening? Examine data from multiple angles to understand why something is happening. The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a service, or a product). Why is the OEE of this machine so low? Why is this machine producing more defective parts than the others? Why is this machine consuming so much energy? Why are we producing so few parts with this tool? Why are we getting so many returns of this product? Why are we getting so many product returns from our European customers? Predictive What will happen? Calculate the probability that something will happen within a specific timeframe, based on historical data. The goal is to proactively take some sort of corrective action before something (usually bad) happens, mitigate risk, or to identify opportunities to gain a competitive advantage. What’s the probability of this machine failing in the next 24 hours? What is the expected remaining useful life of this tool? When should I plan service for this machine? What will be the demand for this product or feature? Prescriptive What actions should I take? Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the reasoning behind a diagnostic or prediction. Often the recommendations are about how to fix or optimize something. This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it? The OEE of this machine is low. What can I do to improve it? This machine is producing too many defective parts. What should I do to avoid this? This design is causing many manufacturing issues. How can I improve the design to reduce them? 9. Question You are the Data Engineer in your organization and you will be taking care of the sales part this year and need to develop the strategy for the ongoing sales for the previous months , current and the future month considering in mind that you have the sales data of past 5 year. You need to use Azure Data Services which of the following Analytics services will you use to determine the correct answer and make strategy accordingly. To answer the question: What’s happening in the sales part with the Data ? To answe r the question: Why’s happening that for certain months the sales increased ? To answer the question: What will happen at the sales front in the coming 2 years ? To answer the question: What actions should we take so that sales will increase? What will be the correct service you use for (2) ? A. Prescriptive, B. Predictive, C. Diagnostic, D. Descriptive E. Cognitive Analytics A. A B. B C. C D. D E. E Answer: C Explanation: 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? Descriptive What’s happening? Monitor the status of machines, devices, products, and assets. Assess if things are going according to plan, or to alert people if anomalies arise. What’s the throughput and utilization of this machine? Are there any anomalies that require immediate attention? How much energy is this machine consuming? How many parts are we producing with this tool? How are customers using our products? Where are my assets? Diagnostic Why is something happening? Examine data from multiple angles to understand why something is happening. The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a service, or a product). Why is the OEE of this machine so low? Why is this machine producing more defective parts than the others? Why is this machine consuming so much energy? Why are we producing so few parts with this tool? Why are we getting so many returns of this product? Why are we getting so many product returns from our European customers? Predictive What will happen? Calculate the probability that something will happen within a specific timeframe, based on historical data. The goal is to proactively take some sort of corrective action before something (usually bad) happens, mitigate risk, or to identify opportunities to gain a competitive advantage. What’s the probability of this machine failing in the next 24 hours? What is the expected remaining useful life of this tool? When should I plan service for this machine? What will be the demand for this product or feature? Prescriptive What actions should I take? Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the reasoning behind a diagnostic or prediction. Often the recommendations are about how to fix or optimize something. This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it? The OEE of this machine is low. What can I do to improve it? This machine is producing too many defective parts. What should I do to avoid this? This design is causing many manufacturing issues. How can I improve the design to reduce them? 10. Question You are the Data Engineer in your organization and you will be taking care of the sales part this year and need to develop the strategy for the ongoing sales for the previous months, current and the future month considering in mind that you have the sales data of past 5 year. You need to use Azure Data Services which of the following Analytics services will you use to determine the correct answer and make strategy accordingly. 1. To answer the question: What’s happening in the sales part with the Data? 2. To answer the question: Why’s happening that for certain months the sales increased? 3. To answer the question: What will happen at the sales front in the coming 2 years? 4. To answer the question: What actions should we take so that sales will increase? What will be the correct service you use for (3)? A. Prescriptive, B. Predictive, C. Diagnostic, D. Descriptive E. Cognitive Analytics A. A B. B C. C D. D E. E Answer: B Explanation: 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? Descriptive What’s happening? Monitor the status of machines, devices, products, and assets. Assess if things are going according to plan, or to alert people if anomalies arise. What’s the throughput and utilization of this machine? Are there any anomalies that require immediate attention? How much energy is this machine consuming? How many parts are we producing with this tool? How are customers using our products? Where are my assets? Diagnostic Why is something happening? Examine data from multiple angles to understand why something is happening. The goal is to find the root cause of a problem, in order to fix, or improve something (a process, a service, or a product). Why is the OEE of this machine so low? Why is this machine producing more defective parts than the others? Why is this machine consuming so much energy? Why are we producing so few parts with this tool? Why are we getting so many returns of this product? Why are we getting so many product returns from our European customers? Predictive What will happen? Calculate the probability that something will happen within a specific timeframe, based on historical data. The goal is to proactively take some sort of corrective action before something (usually bad) happens, mitigate risk, or to identify opportunities to gain a competitive advantage. What’s the probability of this machine failing in the next 24 hours? What is the expected remaining useful life of this tool? When should I plan service for this machine? What will be the demand for this product or feature? Prescriptive What actions should I take? Recommend actions as a result of a diagnosis or a prediction, or at least provide some visibility to the reasoning behind a diagnostic or prediction. Often the recommendations are about how to fix or optimize something. This machine is 90 percent likely to fail in the next 24 hours. What should I do to prevent it? The OEE of this machine is low. What can I do to improve it? This machine is producing too many defective parts. What should I do to avoid this? This design is causing many manufacturing issues. How can I improve the design to reduce them? For a full set of 48 0+ questions. Go to https://skillcertpro.com/product/microsoft - azure - data - fundamentals - dp - 900 - exam - questions/ SkillCertPro offers detailed explanations to each question which helps to understand the concepts better. It is recommended to score above 85% in SkillCertPro exams before attempting a real exam. SkillCertPro updates exam questions every 2 weeks. You will get life time access and life time free updates SkillCertPro assures 100% pass guarantee in first attempt.