Business And Customer Service Quiz

The developer should use the "Exists" function in the Where clause of the Contact table load. This function checks if a certain condition is true for any record in a specified table. In this case, the developer wants to load only the contacts for the accounts that have already been loaded. By using the "Exists" function, the developer can check if there is a matching account in the Account table for each contact record being loaded, and only load the contacts that have a corresponding account.

The field Quantity will contain the values 1, 2, and 3.

The correct answer is LET vNumRows = NoOfRows('TableName'); TRACE 'Resulting Rows = $(vNumRows)'. This script will assign the number of rows resulting from the joining Load statement to the variable vNumRows and then use the TRACE statement to output the number of rows to the Script Execution Progress window and the script logfile.

The appropriate dimension for the chart is "age group" because the designer wants to display the number of patients currently checked into a hospital categorized by their age group. By using "age group" as the dimension, the designer can easily group and compare the number of patients in different age groups, providing a clear visualization of the distribution of patients in the hospital.

To efficiently enable users to create the required output, a developer should create a report with banding on SalesTeam. This means that the report will have a specific formatting applied to each section or band that represents a different sales team. This allows for easy differentiation and organization of the sales data for each team. By using banding, the report can dynamically adjust to the changing number of sales teams, ensuring that each team's sales trending is displayed on a separate page in the PDF output.

The correct answer is 'Load * From [s. \userfiles\data*.txt] (ansi, txt, delimiter is '\t', embedded labels);'. This strategy uses a wildcard in the file location to load all data files that match the pattern 'data*.txt' in the specified directory. The wildcard allows the developer to load all the customer's data files each day without having to specify the exact file name or date. The other options either do not use a wildcard or do not include the necessary file location and wildcard pattern to load all the data files.

The designer can use the Calculate Condition property on the General tab to create a control condition that will prevent the chart from calculating until the user has filtered the data. This means that the chart will only be rendered and displayed once the user has made a selection, helping to improve performance by avoiding unnecessary calculations and rendering.

When loading a table after the Section Access statement and before the Section Application statement, the developer must consider that all field names must be written in uppercase. This means that the names of the fields should be in capital letters. This is important because QlikView is case-sensitive when it comes to field names, so if the field names are not in uppercase, they may not be recognized correctly by the system. Therefore, it is necessary to ensure that all field names are written in uppercase to avoid any issues with data loading and analysis.

The developer will have to resolve the issue of one or more header rows being included in the file data. This is because header rows are not actual data and can cause inaccuracies in analysis. Additionally, they will also have to resolve the issue of one or more Product field values containing the file delimiter. This is because the file delimiter is used to separate different fields in the data, and if it is present within a field value, it can cause incorrect parsing of the data.

The developer should load the Excel data as a Mapping table and use Applymap with a default mapping value when loading the Address Book table. This technique allows the developer to map the Country Code field in the Address Book table to the corresponding Country description in the Excel data using Applymap. If a Country Code value is missing in the Address Book table, the default mapping value can be used to ensure that a Country description is still loaded for all Address Book records.

The developer should use a Left Join when loading the text file. A Left Join will return all records from the left table (in this case, the database table) and the matching records from the right table (the text file) based on the specified join condition (ProductID). This means that all products from the master list in the database table will be included in the resulting table, and any additional data fields from the text file will be added if there is a match on ProductID.

The correct solution for the customer's multi-language support needs is to use a language definition table in the data model containing all descriptions for each language, and the option to select a specific language in a field. This solution allows for flexibility in supporting additional languages in the future and provides a centralized location for all language descriptions. Additionally, the option to select a specific language in a field ensures that the application can display the content in the chosen language.

To meet the customer's need of deploying QlikView to tablet devices, the developer must take two actions. Firstly, they need to ensure that the screen resolution is appropriate for the device, as different tablets may have different screen resolutions. This will ensure that the QVW application is displayed correctly on the tablet devices. Secondly, the developer should use only sheet objects that are suitable for tablet devices. This means selecting and designing sheet objects that are optimized for tablet use, providing a seamless and user-friendly experience for the customer.

To eliminate synthetic keys and appropriately link the data, the developer should first qualify all tables by prefixing them with their respective aliases. This ensures that the fields from different tables can be distinguished. Then, the developer should unqualify all key fields, which means removing the table prefix from the key fields. This allows the key fields to be properly linked between the tables without any synthetic keys.

The cardinality of the relationship between CUSTOMER and ACCOUNT is many-to-many. This means that a customer can have multiple accounts and an account can be associated with multiple customers. It suggests that there can be multiple customers linked to multiple accounts, indicating a complex and flexible relationship between the two entities.

The option "Go to View menu > Resize Window > 1280 x 800" will assist a designer while creating the user interface by allowing them to resize the window to the specified screen resolution of 1280 x 800. This ensures that the application is designed to fit the specified screen resolution as a standard.

To eliminate the circular reference in the data model, the developer should qualify the fields Name, Address, City, and Country in the Shippers and Suppliers tables. By qualifying these fields, it means adding the table names as prefixes to the field names, such as Shippers.Name, Shippers.Address, Suppliers.City, and Suppliers.Country. This helps to differentiate the fields with the same name in different tables, resolving the circular reference issue.

The designer should use an Extension Object to integrate QlikView with an interactive third-party web service for use in the AJAX Zero Footprint client. Extension Objects allow developers to extend the functionality of QlikView by integrating external web services, creating custom visualizations, and adding interactive features. This makes it the most suitable option for integrating QlikView with a third-party web service in the AJAX Zero Footprint client.

Field Comment is the correct answer because it allows a developer to provide information about how a field was calculated in the Load script. Field comments can be added to individual fields in the script, and they can be viewed by other developers or users when they hover over the field name in the QlikView application. This feature is useful for documenting and explaining the logic behind the calculations performed on a field, making it easier for others to understand and work with the application.

Using a QVD file to store an accumulation of periodic snapshots from the source database is the best technique to meet the customer's needs for better understanding of inventory trends over time. A QVD file is a QlikView-specific file format that allows for efficient storage and retrieval of data. By storing periodic snapshots in a QVD file, the customer can easily analyze and compare inventory levels over time using QlikView's powerful capabilities. This technique ensures that the customer has access to historical inventory data and can track trends effectively.

The most efficient way to store, access, and maintain the target values is to save them in an external file and load them into a QlikView table. By doing so, the values can be easily accessed and maintained in a structured manner. Using a FOR loop to assign the values to variables allows for efficient processing and manipulation of the data. This approach also allows for scalability and flexibility, as new target values can be easily added or modified in the external file without affecting the code structure.

Once the tables are loaded into QlikView, the data model will have loosely coupled tables. This means that the tables will have a relationship, but it will not be a strong or direct relationship. The tables will be connected through common fields or keys, but they will not be tightly integrated. This allows for more flexibility in the data model and allows for easier modifications or additions to the data structure.

The trigger "OnOpen" is used when a user first accesses the application, and the action "Select in Field" will allow the customer to show only one specific department. This means that when the application is opened, the action will automatically select the desired department, filtering the data set to only show information related to that department.

The correct answer is that the legacy report calculates the total customer occurrences, while the QlikView report counts only distinct customers. This means that the legacy report includes all occurrences of a customer, even if they appear multiple times, while the QlikView report only counts each customer once, regardless of how many times they appear. This difference in calculation method results in a difference in the total row values between the two reports.

Based on the script displayed in the exhibit, the resulting table schema will be one table named Employees_US.

The primary key of ACCOUNT_TRANS is composed of both ACCOUNT_ID and TRANS_SEQ. This means that the combination of these two columns uniquely identifies each record in the ACCOUNT_TRANS table. Having a primary key is essential for maintaining data integrity and ensuring that there are no duplicate or conflicting records in the table.

By creating an incremental load strategy, the developer can optimize reload performance using QVD files. This strategy involves reducing the query sizes against the source data, which helps to minimize the amount of data that needs to be loaded and processed during each reload. Incremental loading allows the developer to only load and update the new or modified data since the last reload, rather than reloading the entire dataset. This can significantly improve the reload performance by reducing the time and resources required for the reload process.

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By creating a single QVW and adding a table containing currency multipliers while using $USD as a baseline currency, the developer can achieve the goal of providing sales figures in both local currencies and $USD. This approach allows users to consume a single Document CAL, as all the necessary information is contained within one QVW file. The currency multipliers in the table can be used to convert the local currency amounts to $USD, providing the required figures in the corporate standard.

To efficiently apply and maintain the expressions, the developer should create a variable for each expression that contains the expression text. By using variables, the developer can easily manage and update the expressions in one central location. This eliminates the need to edit each individual object that uses the expression. Instead, the variable can be used in place of the expression in each object, ensuring consistency and simplifying maintenance.

The second QVW reload can be scheduled to start upon the successful completion of the first QVW reload. This means that the server will automatically start the reload of the second QVW once it detects that the first QVW reload has finished successfully. This ensures that the second QVW reload will not begin until the data has been loaded and the QVD files have been created by the first QVW.

In QlikView, the fact table and dimension table are linked by having an identically named field in both tables. This means that there is a common field in both tables that is used to establish the relationship between the data in the fact table and the dimension table. This allows QlikView to associate and analyze the data based on this common field, enabling users to easily explore and navigate the data in a flexible and intuitive manner.

The interpretation of a 98 percent subset ratio in the CustomerID field in the Orderstable, when the subset ratio of the same field in the Customer table is 100 percent, is that 100 percent of customers are defined in the Customer table, but 2 percent of the customers have not placed an order. This means that while all customers are recorded in the Customer table, there is a small percentage of customers who have not yet placed an order in the Orders table.

Splitting out a single complex field into multiple fields reduces the number of distinct values per field, which can help reduce the required memory and optimize the application. By doing this, the application can store and process data more efficiently, as it eliminates the need to store repetitive or redundant data. Additionally, it allows for better organization and indexing of the data, making it easier to retrieve and manipulate when needed.

The error message "OBJECT OUT OF MEMORY" suggests that the script is consuming too much memory, causing it to fail. By changing the QUALIFY * command to list out only the fields that need to be qualified, the developer can reduce the memory usage of the script. This means that only the necessary fields will be processed, reducing the memory requirements and resolving the logic error.

A developer should use a Resident Load and Peek technique to determine the minimum and maximum dates from the Sales data table. This will allow them to create a master calendar using the AutoGenerate function. By using Resident Load and Peek, the developer can extract the necessary date information from the Sales table and then generate a calendar that includes all dates, even those without sales. This technique ensures that the chart will display sales figures by date, fulfilling the customer's requirement.

The designer should use the Class(DaysOverdue,30) function within the chart to meet the requirement of analyzing overdue invoices in 30 day intervals. This function will group the DaysOverdue values into intervals of 30 days, allowing for a clear analysis of the overdue invoices based on the specified interval.

The QlikView local client on a 64 bit Windows 7 operating system is the correct answer because it allows the developer to modify the data model of the document. Additionally, using a 64 bit operating system provides access to more memory, which is necessary to accommodate the 5GB RAM consumption of the document.

The designer should use a Straight Table with one expression to display the current month sales and a second expression represented as a Mini Chart to display a trend of sales over the prior 12 months. This option allows the customer to view both the current month sales and the trend of sales over the prior 12 months in a compact and efficient manner, using a small amount of screen space.

The correct answer is by generating a lookup table using the Inline wizard. This means that within the QlikView script, a lookup table can be created using the Inline wizard. This allows the user to define the Product Grouping by manually entering the necessary data directly into the script. This method is useful when the relationship between Product and Product Group is undefined in the original data source.

The Alt function can be used to load data in a consistent format by providing multiple options for parsing the dates using different Date# functions. This allows the developer to handle different date formats and convert them into a consistent format during the load process.

The correct answer is that the fields must be aliased to the same name when loading into QlikView. This is because QlikView uses field names to create associations between tables. If the field names are not the same, QlikView will not be able to establish the associations correctly. The other statements are not necessarily true for ensuring associations across multiple tables.

The given answer is correct because it states that the snowflake schema, which is a normalized schema, has been transformed into a de-normalized schema. This means that the schema has been modified to reduce the number of relationships and increase redundancy in order to improve performance for certain types of queries.

The likely cause of the error is that when the script is reloaded, the SalesPerson table is auto concatenated to the Customer table. However, when the script tries to reference the SalesPerson table, it does not exist because it has been concatenated with the Customer table.

To meet the customer's need of measuring the Amount of Sales by Days Sales Outstanding (DSO), a developer should use the technique of pressing the Add Calculated Dimension button on the Dimensions tab. This allows the developer to create a new calculated dimension that can be used to calculate and display the DSO based on the available data in the data model.

The correct answer is to create a QlikView Publisher task to reduce the Sales.qvw document based on the Region field and distribute to region-specific folders with appropriate file permissions. This is the best solution because it allows the customer to divide the document into region-specific documents using the Region field. The Publisher task can reduce the document based on this field and distribute the resulting documents to region-specific folders, ensuring that each region has access to its own data. Additionally, the task can apply appropriate file permissions to ensure data security.

To clearly describe dimensions and measures for end users who need to use collaborative objects, a developer should add field metadata tags to fields in the load script. This technique allows developers to provide additional information about the fields, such as their meaning, usage, or any specific instructions. By adding these metadata tags, end users can easily understand and interpret the dimensions and measures when working with the collaborative objects. This helps in enhancing collaboration and ensuring that all users have a clear understanding of the data and its context.

A developer should create a new tab in the Load Script when portions of the script are logically related. This allows for better organization and readability of the script. By grouping related portions of the script together, it becomes easier to understand and maintain the code. It also helps in troubleshooting and debugging as developers can quickly locate and work on specific sections of the script. Creating a new tab based on logical relationships improves the overall efficiency and effectiveness of the development process.

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A Pivot Table is the most suitable chart for displaying orders, sales, and average order value grouped by multiple dimensions such as year, quarter, region, product, and salesperson. It allows the designer to easily analyze and compare data across different categories and provides a comprehensive view of the data. The Pivot Table can summarize and aggregate data in a flexible and interactive manner, making it an ideal choice for this type of analysis.