If you're looking for Oracle DAC Interview Questions for Experienced or Freshers, you are in right place. There are a lot of opportunities from many reputed companies in the world. According to research, Oracle DAC has a market share of about 1.9%. So, You still have the opportunity to move ahead in your career as an Oracle Application Software Developer. Mindmajix offers Advanced Oracle DAC Interview Questions 2021 that help you in cracking your interview & acquire a dream career as Oracle Application Developer.
DAC comprises the DAC client and the DAC server. It is important to note they must realign themselves with Information Integration Service and Information Repository.
DAC export and import are primarily used for backup or repository metadata. The logical system and runtime objects can facilitate essential and commodity.
The answer is yes. However, it can be facilitated only when the accomplishment process is not loading into the same table.
The SQL script can be executed with the help of the DAC server. However, it can be implemented only at the task level. It can be accomplished by selecting the SQL file in the process of execution.
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The file of authentication usually authenticates the database in which the repository lies. On the other hand, if you opt for creating an authentication file, then you have the liberty to specify the particular table and password for a specified set of the database.
The table refers to override the default behavior for assessing and truncating various tables that are being assigned to a particular type of database. On the other hand, Task Action refers to the fact that one can add multiple types of new functionalities related to the behavior of the tasks. It comprises failure action, success action, and failure restart. Moreover, index action refers to override the practice of creating and dropping indexes.
A different plan related to accomplishments refers to the fact that it can extract data from one or more chances of source systems that are dissimilar. For instance, a business organization can have a score of Siebel 7.8 in one location. On the other hand, an example of Oracle EBS 11 can be in another position. One can also opt for staggering the timing of data extraction when the professional is using this type of plan related to accomplishments.
On the other side, homogenous plans related to accomplishments also pull database systems from various instances of the system that has originated from the same source. A suitable example, in this case, can be in the form of the fact that a business can have Oracle EBS 11 in one place and time zone and another portion of EBS 11 in another position and time zone. In the cases mentioned above, data extraction timing can be altered so that the business needs of an organization can be met.
It is vital to note that a subject area can be defined by assigning a fact table. Moreover, a subject area can also be specified by assigning a set of fact tables. When a subject area is adequately defined, DAC also performs the below-mentioned procedures to assess the essential tasks related to data warehousing.
There exist multiple kinds of DAC repository objects that are essential in order to make sure that the data warehousing tasks are being accomplished in a proper manner. The following are the various objects related to the DAC Repository.
The dates related to refreshing are usually tracked for the tables. The tables can be a primary source or can also be a prime target. These primary and source-target tables are typically based on the completed trial of particular plans related to accomplishments. The DAC can even run the full load command for the assignments that are based on a table which is a primary source of a target.
It also runs the entire load of powers that are usually assigned to duties in case the date of refresh against the table is null. In case there are a lot of multiple sources, the refresh dates would always trigger an incremental load. DAC would run the full load command structure, in fact, the source tables have no refresh dates.
The merge and update option for the DAC version can be carried out by using the merge and update process which is present in the DAC server. The Repository Upgrade is also used for updating DAC. You can use the simplified refresh base from the refresh base menu. It would allow you to update the repository of DAC from an earlier release of Oracle BI.
The applications related to a new version can be carried out by comparing and facilitating a report. On the other hand, the base of replace or substitution is carried out when there is a conversion from the older version to a newer one. Quite interestingly, the peer-to-peer merge can align various DAC instances of repositories related to Data Infrastructure. The base of refresh can also be used for updating the Business Intelligence Applications which are usually present on the DAC server.
The performance compared to Micro ETL plans are also known as ETL techniques that can be scheduled at a fixed set of intervals. It is important to note that these micro plans related to accomplishments can be classified into half-hourly and hourly basis. They are associated with the management of subsets or small places of a subject. The DAC server can also track the time of refresh for various types of tables in the plans related to the accomplishments of the micro ETL.
It does so by executing the plans from different plans related to execution. It then utilizes the dates of refresh in the process pertaining to change capture. One can build and run them by creating a copy of the subject area. You can then opt for deactivating the unwanted assignments and can facilitate the creation of new plans related to accomplishments for this area of a subject.
It is important to note that the procedures related to Micro ETL can cause problems related to data inconsistencies. It can also create a massive issue of the availability of data and load on the database pertaining to transactional. One should be aware of the factors that can because the Micro ETL plans to produce wrong information.
In the case of the schemas that share a star hierarchical structure and when one representation is deleted from an assessment plan, the assignments can be inaccurate. An example can be provided in this context to strengthen this fact. If the fact table of the person is refreshed on a frequent basis when compared to the fact table of Revenue, the entire types of diagrams can also facilitate the production of results that are inconsistent.
On the other hand, if someone deletes the table of dimensions from a Plans related to accomplishments related to ETL, the outside related to the tables of facts would always point to the unspecified rows. The key references would be solved in case the plans related to accomplishments are being run on a DAC server. The users of the reports referred to data warehousing should be aware of various inconsistencies.
On the other side, if you do not comprise the tables of aggregates in the plans related to execution, the information that usually utilizes data would remain inconsistent. On the other hand, if the tables of totals are comprised of the program related to performance, the plans about accomplishments are carried out for processes described to ETL. The tables of a hierarchy are also constructed in the event of every Plan related to achievements related to ETL. In case you avoid overfilling the counters during the ETL processes, inconsistencies related to data would always occur.
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