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NEW QUESTION: 1
You have existing dbedit scripts from R77. Can you use them with R80.10?
A. dbedit is fully supported in R80.10
B. dbedit scripts are being replaced by mgmt._cli in R80.10
C. You can use dbedit to modify threat prevention or access policies, but not create or modify layers
D. dbedit is not supported in R80.10
Answer: B
Explanation:
dbedit (or GuiDbEdit) uses the cpmi protocol which is gradually being replaced by the new R80.10 automation architecture. cpmi clients are still supported in R80.10, but there are some functionalities that cannot be managed by cpmi anymore. For example, the Access and Threat policies do not have a cpmi representation.
They can be managed only by the new mgmt_cli and not by cpmi clients. There are still many tables that have an inner cpmi representation (for example, network objects, services, servers, and global properties) and can still be managed using cpmi.
Reference: https://www.checkpoint.com/downloads/product-related/r80.10-mgmt- architecture-overview.pdf

NEW QUESTION: 2
A developer wants to call an Apex Server-side Controller from a Lightning Aura Component.
What are two limitations to the data being returned by the Controller? (Choose two.)
A. A custom Apex Class can be returned, but only the values of public instance properties and methods annotated with @AuraEnabled are serialized and returned.
B. Basic data types are supported, but defaults, such as maximum size for a number, are defined by the objects that they map to.
C. Only Basic data types and sObjects are supported as return types for Apex Controllers called by Lightning Aura Components.
D. Lists of Custom Apex Classes cannot be returned by Apex Controllers called by Lightning Aura Components.
Answer: A,B

NEW QUESTION: 3
Which feature of StealthWatch aggregates and normalizes NetFlow data?
A. Netflow analytics
B. Advanced malware protection
C. FlowCollector
D. Forensic investigation
Answer: A

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same or similar answer choices. An answer choice may be correct for more than one question in the series. Each question is independent of the other questions in this series. Information and details provided in a question apply to that question.
You have a database for a banking system. The database has two tables named tblDepositAcct and tblLoanAcct that store deposit and loan accounts, respectively. Both tables contain the following columns:

You need to determine the total number of customers who have either deposit accounts or loan accounts, but not both types of accounts.
Which Transact-SQL statement should you run?
A. SELECT COUNT(*)FROM (SELECT AcctNoFROM tblDepositAcctINTERSECTSELECT
AcctNoFROM tblLoanAcct) R
B. CustNo IS NULL
C. CustNo
D. SELECT COUNT(*)FROM (SELECT CustNoFROM tblDepositAcctUNION ALLSELECT
CustNoFROM tblLoanAcct) R
E. SELECT COUNT(DISTINCT L.CustNo)FROM tblDepositAcct DRIGHT JOIN
tblLoanAcct L ON D.CustNo = L.CustNoWHERE D.CustNo IS NULL
F. SELECT COUNT (DISTINCT CustNo)FROM tblDepositAcct D, tblLoanAcct LWHERE
G. SELECT COUNT(*)FROM tblDepositAcct DFULL JOIN tblLoanAcct L ON D.CustNo =
H. CustNo = L.CustNo
I. SELECT COUNT (DISTINCT COALESCE(D.CustNo, L.CustNo))FROM tblDepositAcct
DFULL JOIN tblLoanAcct L ON D.CustNo = L.CustNoWHERE D.CustNo IS NULL OR
J. SELECT COUNT(*)FROM (SELECT CustNoFROM tblDepositAcctUNIONSELECT
CustNoFROM tblLoanAcct) R
K. SELECT COUNT(*)FROM (SELECT CustNoFROM tblDepositAcctEXCEPTSELECT
CustNoFROM tblLoanAcct) R
Answer: I
Explanation:
SQL Server provides the full outer join operator, FULL OUTER JOIN, which includes all rows from both tables, regardless of whether or not the other table has a matching value.
Consider a join of the Product table and the SalesOrderDetail table on their ProductID columns. The results show only the Products that have sales orders on them. The ISO
FULL OUTER JOIN operator indicates that all rows from both tables are to be included in the results, regardless of whether there is matching data in the tables.
You can include a WHERE clause with a full outer join to return only the rows where there is no matching data between the tables. The following query returns only those products that have no matching sales orders, as well as those sales orders that are not matched to a product.
USE AdventureWorks2008R2;
GO
-- The OUTER keyword following the FULL keyword is optional.
SELECT p.Name, sod.SalesOrderID
FROM Production.Product p
FULL OUTER JOIN Sales.SalesOrderDetail sod
ON p.ProductID = sod.ProductID
WHERE p.ProductID IS NULL
OR sod.ProductID IS NULL
ORDER BY p.Name ;
References: https://technet.microsoft.com/en-us/library/ms187518(v=sql.105).aspx

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