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Question1: An analyst needs to select all users in the query results but only wants to visualize results for users that have more than 100 orders.Which visualization option should the analyst utilize?
Question2: An analyst creates a column chart showing the count of total orders and the count of returned orders on each date. The number of returned orders is much smaller than the number of total orders, so the columns for the returned orders are short and it is difficult to compare all the columns visually.How should the analyst ensure that the differences between returned order counts for each day are more visible?
Question3: The query below shows how many uses purchased an item from each of two clothing departments.Why are the total and sum of the rows unequal?
Question4: An analyst works on the data team at an organization that maintains multiple similar Explores. The analyst has access to see every Explore, but knows that employees in the finance department only have access to explores tagged Finance.There is an Employee Compensation Data Finance Explore that the finance department has access to. The analyst usually uses an All Employee Data Explore that also includes personally identifiable information.What should the analyst do to ensure proper access if the analyst wants to send an example visualization to the finance team?
Question5: The sales team has all its Looker content stored in a folder called Sales. Team members are complaining that the Looks and dashboards have been getting moved and edited in unwanted ways. Only the sales analyst should be editing the content in the Sales folder.Which access settings should be applied to the folder?
Question6: An analyst creates a table visualization. There is one dimension, a few count type measures, and a percentage table calculation. When the analyst tries to download all 200,000 rows of results in CSV, the option is unavailable. The analyst has been provided permission to download all results.Which action should the analyst take to download all results?
Question7: A business analyst is using the Totals check box in an Explore to get the sum of a column of values. The number that appears in the Total row is much higher than the analyst expects, and this number is not the sum of the values in the column.What is a possible cause of this discrepancy?
Question8: A business analyst is building a report of predicted sales. The business analyst wants to filter the results to only show dates in the next seven days. This filter should work whenever the results are generated.Which filter expression should the business analyst use?
Question9: An analyst is creating a map that colors cities by their population. After adding fields and selecting the Interactive Map visualization, the analyst receives this error message:"At least one dimension should be of type Location or have a map_layer specified".There are currently three fields in the Explore:City Name (Dimension)Population (Measure)Number of Museums (Measure)What should the analyst do to resolve this error?
Question10: An analyst is trying to create a pie chart showing the breakdown of the top sales by brand in an Explore. The analyst selects the Brand Name dimension and a measure for the Count of Items Sold. The analyst then selects the pie chart visualization, but sees the error "Too Many Rows: Pie charts can display a maximum of 50 rows of data." How can the analyst resolve this error and create a pie chart that will always show the top brands by items sold?
Question11: The analyst is exploring weekly sales revenue in the last 3 months using a line chart. One requirement is to show the sales target $30,000 in the chart.Which solution can help the analyst display the sales target?
Question12: Users find it difficult to distinguish the dashboards they need for tracking sales performance. There are more than 30 operation-related dashboards in the same folder.What should the analyst do to improve the navigation experience?
Question13: An analyst adds a Day dimension and a Signup Count measure to an Explore to show the number of new users added per day. The analyst wants to add a metric that increases by the number of new users per day, on a rolling basis.How should that metric be calculated?
Question14: A global dashboard filter and the filter on a tile within that dashboard conflict because the global dashboard filter and the individual tile filter are based on the same field with different filter values.What happens in this situation?