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NEW QUESTION: 1
ユーザーがアクセス権のないリソースにサインインしようとしていると思われます。
Azure Log Analyticsクエリを作成して、過去3日間で失敗したユーザーサインインの試行を識別する必要があります。結果には、サインインに5回以上失敗したユーザーのみが表示される必要があります。
クエリをどのように構成する必要がありますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
The following example identifies user accounts that failed to log in more than five times in the last day, and when they last attempted to log in.
let timeframe = 1d;
SecurityEvent
| where TimeGenerated > ago(1d)
| where AccountType == 'User' and EventID == 4625 // 4625 - failed log in
| summarize failed_login_attempts=count(), latest_failed_login=arg_max(TimeGenerated, Account) by Account
| where failed_login_attempts > 5
| project-away Account1
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/log-query/examples
NEW QUESTION: 2
Examine the Exhibit.
Which two statements are true about the bloom filter in the execution plan?
A. The bloom filter is created in parallel by the set of parallel execution processes that scanned table T2.
B. The bloom filter prevents all rows from table T2 that do not join table T1 from being needlessly distributed.
C. The bloom filter is created in parallel by the set of parallel execution processes that scanned table T1.
D. The bloom filter prevents all rows from table T1 that do not join T2 from being needlessly distributed.
E. The bloom filter prevents some rows from table T2 that do not join table T1 from being needlessly distributed.
F. The bloom filter is created in parallel by the set of parallel execution processes that later perform join.
Answer: B,C
Explanation:
* PX JOIN FILTER CREATE The bloom filter is created in line 4.
*PX JOIN FILTER USE The bloom filter is used in line 11.
Note:
*You can identify a bloom pruning in a plan when you see :BF0000 in the Pstart and Pstop columns of the execution plan and PART JOIN FILTER CREATE in the operations column.
*A Bloom filter is a probabilistic algorithm for doing existence tests in less memory than a full list of keys would require. In other words, a Bloom filter is a method for representing a set of n elements (also called keys) to support membership queries.
*The Oracle database makes use of Bloom filters in the following 4 situations:
-
To reduce data communication between slave processes in parallel joins: mostly in RAC
-
To implement join-filter pruning: in partition pruning, the optimizer analyzes FROM and WHERE clauses in SQL statements to eliminate unneeded partitions when building the partition access list
-
To support result caches: when you run a query, Oracle will first see if the results of that query have already been computed and cached by some session or user, and if so, it will retrieve the answer from the server result cache instead of gathering all of the database blocks
-
To filter members in different cells in Exadata: Exadata performs joins between large tables and small lookup tables, a very common scenario for data warehouses with star schemas. This is implemented using Bloom filters as to determine whether a row is a member of the desired result set.
NEW QUESTION: 3
Your network contains an Active Directory domain named contoso.com.
You are creating a custom Windows Recovery Environment (Windows RE) image.
You need to ensure that when a server starts from the custom Windows RE image, a drive is mapped automatically to a network share.
What should you modify in the image?
A. Xsl-mApp1ngs.xml
B. smb.types.ps1xml
C. startnet.cmd
D. Win.ini
Answer: C
Explanation:
Explanation/Reference:
Explanation:
The best way to define what to start is using starnet.cmd
http://technet.microsoft.com/en-us/library/cc766521(v=ws.10).aspx
