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Exam Code: Databricks-Certified-Data-Engineer-Professional
Exam Name: Databricks Certified Data Engineer Professional Exam
Vendor: Databricks

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NEW QUESTION: 1
Which of the following statements is false in reference to confidence intervals and/or tests of significance?
Choose the best answer.
A. The confidence level is typically equal to (1 - the probability of a Type II error).
B. The confidence level is equal to the significance level.
C. The significance level is denoted by the Greek letter alpha.
D. All else equal, the confidence interval for a 1% significance level is larger than the confidence interval for a 5% significance level.
E. The three conventional level of confidence are 0.10, 0.05, and 0.01.
F. More than one of these answers is incorrect.
Answer: F
Explanation:
Explanation/Reference:
Explanation:
More than one of these answers is correct. First, the confidence level is not equal to the significance level.
Rather the confidence level is equal to (1 - the significance level). Remember that the significance level of a test is used to quantify the probability of a Type I error, which is defined as the act of incorrectly rejecting the null hypothesis. For example, a confidence level of 95% implies a 5% probability of incorrectly rejecting the null hypothesis (i.e. a Type I error). For example, a hypothesis test associated with a 0.01 significance level indicates a 0.99 level of confidence. The second incorrect statement in this example is that the confidence level of a hypothesis test is found by (1 - alpha), where "alpha" is equal to the probability of a Type I error. Subtracting the probability of a Type II error from one will yield the power of the test. The remaining answers are all correct.

NEW QUESTION: 2
HOTSPOT
Case Study #2
This is a case study. Case studies are not limited separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other question on this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next sections of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question on 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.
Background
Wide World Importers has multidimensional cubes named SalesAnalysis and ProductSales. The SalesAnalysis cube is refreshed from a relational data warehouse. You have a Microsoft SQL Server Analysis Services instance that is configured to use tabular mode. You have a tabular data model named CustomerAnalysis.
Sales Analysis
The SalesAnalysis cube contains a fact table named CoffeeSale loaded from a table named FactSale in the data warehouse. The time granularity within the cube is 15 minutes. The cube is processed every night at 23:00. You determine that the fact table cannot be fully processed in the expected time. Users have reported slow query response times.
The SalesAnalysis model contains tables from a SQL Server database named SalesDB. You set the DirectQueryMode option to DirectQuery. Data analyst access data from a cache that is up to 24 hours old.
Data analyst report performance issues when they access the SalesAnalysis model.
When analyzing sales by customer, the total of all sales is shown for every customer, instead of the customer's sales value. When analyzing sales by product, the correct totals for each product are shown.
Customer Analysis
You are redesigning the CustomerAnalysis tabular data model that will be used to analyze customer sales.
You plan to add a table named CustomerPermission to the model. This table maps the Active Directory login of an employee with the CustomerId keys for all customers that the employee manages.
The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
Data analysts must be able to analyze sales for financial years, financial quarters, months, and days. Many reports are based on analyzing sales by month.
Product Sales
The ProductSales cube allows data analysts to view sales information by product, city, and time. Data analysts must be able to view ProductSales data by Year to Date (YTD) as a measure. The measure must be formatted as currency, associated with the Sales measure group, and contained in a folder named Calculations.
Requirements
You identify the following requirements:
Data available during normal business hours must always be up-to-date.

Processing overhead must be minimized.

Query response times must improve.

All queries that access the SalesAnalysis model must use cached data by default.

Data analysts must be able to access data in near real time.

You need to configure the project option settings to minimize deployment time for the CustomerAnalysis data model.
What should you do? To answer, select the appropriate setting from each list in the answer area.
Hot Area:

Answer:
Explanation:

Explanation/Reference:
Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state. If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional-models/deployment- script-files-specifying-processing-options

NEW QUESTION: 3
Ein Unternehmen plant, Microsoft SQL Server-Datenbanken in Azure bereitzustellen. Folgende Voraussetzungen müssen erfüllt sein:
* Ressourcen müssen für 200 Datenbanken freigegeben werden.
* Der gesamte Poolspeicher muss mindestens zwei Terabyte (TB) unterstützen.
Sie müssen die Azure-Umgebung konfigurieren und die Kosten minimieren.
Was solltest du konfigurieren? Wählen Sie zum Beantworten die entsprechenden Optionen im Antwortbereich aus.
HINWEIS: Jede richtige Antwort ist einen Punkt wert.

Answer:
Explanation:

Erläuterung

Referenz: https://docs.microsoft.com/en-us/azure/sql-database/sql-database-service-tiers

NEW QUESTION: 4
Risks should be constantly reviewed. Given the current situation, which one of the following factors is most likely to lead to a revised view of product risk? 3 credits
A. The concerns over the user interface may lead to changes to the interface which cannot be implemented by development in time for the second test iteration.
B. The delivery of the application without the interface changes may upset the user community.
C. The concerns over the user interface raises the likelihood of a risk in that area and increases the amount of test effort needed for the user interface, thereby limiting the test effort available for other parts of the test management tool.
D. The method used for test estimation is not accurate enough and hence the money spent on testing exceeded its budget.
Answer: C


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