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NEW QUESTION: 1
Overview
General Overview
ADatum Corporation has offices in Miami and Montreal.
The network contains a single Active Directory forest named adatum.com. The offices connect to each other by using a WAN link that has 5-ms latency. A Datum standardizes its database platform by using SQL Server 2014 Enterprise edition.
Databases
Each office contains databases named Sales, Inventory, Customers, Products, Personnel, and Dev.
Servers and databases are managed by a team of database administrators. Currently, all of the database administrators have the same level of permissions on all of the servers and all of the databases.
The Customers database contains two tables named Customers and Classifications.
The following graphic shows the relevant portions of the tables:

The following table shows the current data in the Classifications table:

The Inventory database is updated frequently.
The database is often used for reporting.
A full backup of the database currently takes three hours to complete.
Stored Procedures
A stored procedure named USP_1 generates millions of rows of data for multiple reports. USP_1 combines data from five different tables from the Sales and Customers databases in a table named Table1.
After Table1 is created, the reporting process reads data from Table1 sequentially several times. After the process is complete, Table1 is deleted.
A stored procedure named USP_2 is used to generate a product list. The product list contains the names of products grouped by category.
USP_2 takes several minutes to run due to locks on the tables the procedure accesses. The locks are caused by USP_1 and USP_3.
A stored procedure named USP_3 is used to update prices. USP_3 is composed of several UPDATE statements called in sequence from within a transaction.
Currently, if one of the UPDATE statements fails, the stored procedure fails. A stored procedure named USP_4 calls stored procedures in the Sales, Customers, and Inventory databases.
The nested stored procedures read tables from the Sales, Customers, and Inventory databases. USP_4 uses an EXECUTE AS clause.
All nested stored procedures handle errors by using structured exception handling. A stored procedure named USP_5 calls several stored procedures in the same database. Security checks are performed each time USP_5 calls a stored procedure.
You suspect that the security checks are slowing down the performance of USP_5. All stored procedures accessed by user applications call nested stored procedures.
The nested stored procedures are never called directly.
Design Requirements
Data Recovery
You must be able to recover data from the Inventory database if a storage failure occurs. You have a Recovery Time Objective (RTO) of 5 minutes.
You must be able to recover data from the Dev database if data is lost accidentally. You have a Recovery Point Objective (RPO) of one day.
Classification Changes
You plan to change the way customers are classified. The new classifications will have four levels based on the number of orders. Classifications may be removed or added in the future. Management requests that historical data be maintained for the previous classifications. Security A group of junior database administrators must be able to manage security for the Sales database. The junior database administrators will not have any other administrative rights. A Datum wants to track which users run each stored procedure.
Storage
ADatum has limited storage. Whenever possible, all storage space should be minimized for all databases and all backups.
Error Handling
There is currently no error handling code in any stored procedure.
You plan to log errors in called stored procedures and nested stored procedures. Nested stored procedures are never called directly.
You need to recommend a solution to minimize the amount of time it takes to execute USP_5. What should you include in the recommendation?
A. Use a server role to group all logins.
B. Use the EXECUTE AS clause in USP_5.
C. Enable cross-database chaining.
D. Copy USP.5 to each database.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
Scenario:
A stored procedure named USP_5 changes data in multiple databases. Security checks are performed each time USP_5 accesses a database.
- Cross-database ownership chaining occurs when a procedure in one database depends on objects in another database. A cross-database ownership chain works in the same way as ownership chaining within a single database, except that an unbroken ownership chain requires that all the object owners are mapped to the same login account. If the source object in the source database and the target objects in the target databases are owned by the same login account, SQL Server does not check permissions on the target objects.

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 an Azure DevOps project.
Your build process creates several artifacts.
You need to deploy the artifacts to on-premises servers.
Solution: You deploy a Kubernetes cluster on-premises. You deploy a Helm agent to the cluster. You add a Download Build Artifacts task to the deployment pipeline.
Does this meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Instead you should deploy an Azure self-hosted agent to an on-premises server.
Note: To build your code or deploy your software using Azure Pipelines, you need at least one agent.
If your on-premises environments do not have connectivity to a Microsoft-hosted agent pool (which is typically the case due to intermediate firewalls), you'll need to manually configure a self-hosted agent on on-premises computer(s).
Note 2: As we [Microsoft] are launching this new experience in preview, we are currently optimizing it for Azure Kubernetes Service (AKS) and Azure Container Registry (ACR). Other Kubernetes clusters, for example running on-premises or in other clouds, as well as other container registries, can be used, but require setting up a Service Account and connection manually.
References:
https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/agents?view=azure-devops

NEW QUESTION: 3
Your network contains a server named Server1 that runs Windows Server 2008 R2 Service Pack 1 (SP1).
You have a new server that contains one dynamic disk.
You plan to install Windows Server 2008 R2 Service Pack 1 (SP1) on the server.
You attempt to select the dynamic disk during the installation and you receive the following error message: "Windows cannot be installed to this hard disk space. The partition contains one or more dynamic volumes that are not supported for installation."
You need to install Windows Server 2008 R2 SP1 on the disk.
Which Diskpart command should you run?
A. repair
B. list
C. offline
D. GPT
E. compact vdisk
F. assign
G. detach vdisk
H. active
I. attach vdisk
J. rescan
K. merge vdisk
L. filesystems
M. extend
N. add
O. automount
P. online
Q. break
R. create
S. attributes
T. expand vdisk
U. recover
V. retain
W. format
X. remove
Answer: V
Explanation:
Prepares an existing dynamic simple volume to be used as a boot or system volume.
Remarks On a master boot record (MBR) dynamic disk, this command creates a partition
entry in the master boot record.
On a GUID partition table (GPT) dynamic disk, this command creates a partition entry in
the GUID partition table.
Source: http://technet.microsoft.com/en-us/library/cc755127(v=ws.10).aspx

NEW QUESTION: 4
Which two statements are true regarding the COUNT function? (Choose two.)
A. COUNT(cust_id) returns the number of rows including rows with duplicate customer IDs and NULL value in the CUST_ID column
B. The COUNT function can be used only for CHAR, VARCHAR2 and NUMBER data types
C. COUNT(*) returns the number of rows including duplicate rows and rows containing NULL value in any of the columns
D. COUNT(DISTINCT inv_amt) returns the number of rows excluding rows containing duplicates and NULL values in the INV_AMT column
E. A SELECT statement using COUNT function with a DISTINCT keyword cannot have a WHERE clause
Answer: C,D