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NEW QUESTION: 1
You have an Azure subscription that contains several virtual machines and an Azure Log Analytics workspace named Workspace1. You create a log search query as shown in the following exhibit.

Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: 14 days
Two weeks will be covered.
Note: Startofweek returns the start of the week containing the date, shifted by an offset, if provided.
Start of the week is considered to be a Sunday.
Endofweek returns the end of the week containing the date, shifted by an offset, if provided.
Last day of the week is considered to be a Saturday.
Box 2:
The render operator renders results in as graphical output. Timechart is a Line graph, where the first column is x-axis, and should be datetime. Other columns are y-axes. In this case the Y axis has avg(CounterValue) Values.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/log-query/log-query-overview
https://docs-analytics-eus.azurewebsites.net/queryLanguage/query_language_renderoperator.html

NEW QUESTION: 2
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a data warehouse that stores sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the operational workload.
Solution: You remove any clustered indexes and load the table for processing.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Clustered columnstore tables offer both the highest level of data compression as well as the best overall query performance. Clustered columnstore tables will generally outperform clustered index or heap tables and are usually the best choice for large tables. For these reasons, clustered columnstore is the best place to start when you are unsure of how to index your table.
Note: Dimensional tables can be used to reduce the size of fact tables.
Dimension tables contain attribute data that might change but usually changes infrequently. For example, a customer's name and address are stored in a dimension table and updated only when the customer's profile changes. To minimize the size of a large fact table, the customer's name and address do not need to be in every row of a fact table. Instead, the fact table and the dimension table can share a customer ID. A query can join the two tables to associate a customer's profile and transactions.
References: https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-tables-overview

NEW QUESTION: 3
You have configured a user role for HR reporting administrators and mapped users to this role using an HR Reporting Admin group.
An HR reporting administrator user logs in to the system and notices that he/she is unable to access the Control Panel to create or run reports and asks you to investigate the issue.
While performing a quick check, you are able to confirm that the user has been assigned to the correct groups, but the permissions are missing.
Identify three reasons why this happened.
A. The user account has been set to inactive.
B. The HR Reporting Administrator role has been set to inactive.
C. The HR Reporting Administrator role does not have the permissions to manage reports.
D. The users were not mapped to the group when they were first assigned to the role, and you need to update the mapped users for this role.
Answer: B,C,D