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If a user enters a password that is less than 16 characters, the program will execute normally If the user enters a password that is more than 16 characters, the first 16 characters of the user s input will occupy the space allocated to the pass buffer However, the extra user input will start overwriting the return address namely the address of the main() function If that return address gets overwritten, then once the microprocessor finishes executing the checkPassword() function, it will continue program execution at whatever return address is specified by the four bytes that exist below the pass buffer4 If an attacker enters input longer than 16 characters, and the 17th to 20th characters of the input are just garbage, then the program might crash because the microprocessor would try continuing program execution at an invalid return address.



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Frame Rate: Select 24. According to the summary, the original s frame rate is 23.98 fps. Bitrate Encoding: Select VBR. Encoding Passes: Select Two. Bitrate Level: Select High from the drop-down. The plan for this video is to play it from the desktop so data rate is not an issue. Quality: Select Best.





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Traditionally, data warehousing and other similar large databases have needed summary tables or aggregate tables to perform their work. Defining these summary tables and constantly maintaining them was a complex task. Any time you added data to the underlying detail table, you had to manually update all the summary tables and their indexes. Oracle s materialized views offer a way to simplify summary management in large databases. Materialized views in these environments are also called summaries because they store summarized data. You can use tables, views, or other materialized views as the source for a materialized view. The source tables are called master tables, and it s common to refer to the master tables as detail tables in a data warehousing environment. When you create a new materialized view, Oracle will automatically create an internal table to hold the data of this materialized view. Thus, a materialized view will take up physical space in your database, whereas a regular view doesn t, since a view is only the output of a SQL query. You can do the following with a materialized view: Create indexes on a materialized view. Create a materialized view on partitioned tables. Partition a materialized view.

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You can use an index to access a materialized view directly, as you would a table. Similarly, you can also access a materialized view directly in an INSERT, UPDATE, or DELETE statement. However, Oracle recommends that you not do so, and that you let the Oracle Cost Based Optimizer (CBO) make the decision about whether to rewrite your normal queries to take advantage of a materialized view. If the execution plan using the materialized view has a lower cost of accessing it compared to accessing the tables directly, Oracle will automatically do so.

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You can use various types of aggregations like SUM, COUNT(*), AVG, MIN, and MAX in a materialized view. You can also use multiple table joins in the materialized view definition. Creating a materialized view is pretty straightforward, but optimizing it can be tricky. Optimizing a materialized view involves both ensuring that the Oracle cost-based optimizer rewrites users queries to use the materialized views that you have created, and keeping the data in the materialized views current. Let s briefly look at these two aspects of optimizing materialized views.

In large databases with heavy time- and processing power consuming activity, such as table joins and the use of aggregates like SUM, materialized views speed up queries Materialized views makes queries faster by recalculating and storing the results of expensive join and aggregate operations The beauty of Oracle s materialized view facility is that you can specify during their creation that the database must automatically update the materialized views whenever there are changes in the underlying base tables The materialized views are completely transparent to users If users write queries using the underlying table, Oracle will automatically rewrite those queries to use the materialized views this query-optimization technique is known as query rewrite The Oracle CBO will automatically recognize that it should rewrite a user s query to use the materialized view rather than the underlying tables if the estimated query cost of using the materialized views is lower.

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