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NEW QUESTION: 1
Which of the following would be an example of the BEST password?
A. T1me4g0lF
B. Elizabeth
C. password
D. golf001
Answer: A
Explanation:
Explanation/Reference:
Explanation:
The following four rules apply to what can be contained in a password. The more rules that are met by a password, the stronger the password is.
Passwords should contain uppercase characters
Passwords should contain lowercase characters
Passwords should contain base 10 digits (0 through 9)
Passwords should contain nonalphanumeric characters: ~!@#$%

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&*_-+=`|\(){}[]:;"'<>,.?/ Further to the list above, passwords should be at least eight characters long and not include names, usernames or dictionary words.
The password T1me4g0lF meets three of the above rules. It contains uppercase characters, numeric characters and lowercase characters. This is the strongest password of the options given.
Incorrect Answers:
A: golf001 meets only two of the password rules. It contains lowercase and numeric characters. This is not the strongest password.
B: Elizabeth meets only two of the password rules. It contains lowercase and numeric characters.
Furthermore, the password is a name which makes it easier to guess. This is not the strongest password.
D: 'password' is a very weak password. It meets only one password rule (it contains lowercase letters). It is also one of the most easily guessed passwords there is.
References:
http://windows.microsoft.com/en-us/windows-vista/tips-for-creating-a-strong-password

NEW QUESTION: 2
In a crosstab, Campaign is in the rows area, Order method type is in the columns area, and Quantity is the measure. Campaign and Order method type are specified in the query. The report runs, displaying quantity values for all years. Why does this happen?
A. The default member from that dimension is implied.
B. The order method member from that dimension is implied.
C. The dimension member from that dimension is implied.
D. The aggregate member from that dimension is implied.
Answer: A

NEW QUESTION: 3
When properly tested, which of the following would MOST effectively support an information security manager in handling a security breach?
A. Vulnerability management plan
B. Disaster recovery plan
C. Business continuity plan
D. Incident response plan
Answer: D
Explanation:
An incident response plan documents the step-by-step process to follow, as well as the related roles and responsibilities pertaining to all parties involved in responding to an information security breach. A business continuity plan or disaster recovery plan would be triggered during the execution of the incident response plan in the case of a breach impacting the business continuity. A vulnerability management plan is a procedure to address technical vulnerabilities and mitigate the risk through configuration changes (patch management).

NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in the series.
Start of repeated scenario
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it to daily. The FactOrder table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night Use a partitioning strategy that is as granular as possible.
* Partition the FactOrder table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure "that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
End of repeated scenario
You need to optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
Which technology should you use for each table?
To answer, select the appropriate technologies in the answer area.
MuleSoft-Integration-Architect-I Test Result
MuleSoft-Integration-Architect-I Test Result
Answer:
Explanation:
MuleSoft-Integration-Architect-I Test Result
Explanation
MuleSoft-Integration-Architect-I Test Result
Box 1: Temporal table
Box 2: Temporal table
Compared to CDC, Temporal tables are more efficient in storing historical data as it ignores insert actions.
Box 3: Change Data Capture (CDC)
By using change data capture, you can track changes that have occurred over time to your table. This kind of functionality is useful for applications, like a data warehouse load process that need to identify changes, so they can correctly apply updates to track historical changes over time.
CDC is good for maintaining slowly changing dimensions.
Scenario: Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated.
References:
https://www.mssqltips.com/sqlservertip/5212/sql-server-temporal-tables-vs-change-data-capture-vs-change-track
https://docs.microsoft.com/en-us/sql/relational-databases/tables/temporal-table-usage-scenarios?view=sql-server