22 September, 2020
Are you planning to attend an interview for the SAP BODS Developer role but confused on how to crack that interview and also what would be the most probable SAP BODS Interview Questions that the interviewer may ask? Well, you have reached the right place. Tekslate has collected the most frequently asked SAP BODS Interview Questions which are often asked in multiple interviews.
Ans: BusinessObjects Data Services provides a graphical interface that allows you to easily create jobs that extract data from heterogeneous sources, transform that data to meet the business requirements of your organization, and load the data into a single location.
Ans: Data Services includes the following standard components:
Ans: Project, Job, Workflow, Dataflow.
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Ans: Job, Workflow, Dataflow.
Ans: A transform enables you to control how datasets change in a dataflow.
Ans: A script is a single-use object that is used to call functions and assign values in a workflow.
Ans: Real-time jobs “extract” data from the body of the real-time message received and from any secondary sources used in the job.
Ans: An Embedded Dataflow is a dataflow that is called from inside another dataflow.
Ans: A datastore is a connection to a database.
Ans: Three types:
Ans: Remove redundant and obsolete objects from the repository tables.
Ans: Data Services also allows you to create a database datastore using Memory as the Database type. Memory Datastores are designed to enhance processing performance of data flows executing in real-time jobs.
Ans: A file format is a set of properties describing the structure of a flat-file (ASCII). File formats describe the metadata structure. File format objects can describe files in:
Ans: File Format
Ans: The DataServices repository is a set of tables that holds user-created and predefined system objects, source and target metadata, and transformation rules. There are 3 types of repositories.
Ans: A Repository is a set of tables that hold system objects, source and target metadata, and transformation rules. A Datastore is an actual connection to a database that holds data.
Ans: The parameter is an expression that passes a piece of information to workflow, data flow or custom function when it is called in a job. A Variable is a symbolic placeholder for values.
Ans: The Value that is constant in one environment, but may change when a job is migrated to another environment.
Ans: Incorrect syntax, Job Server not running, port numbers for Designer and Job Server not matching.
Ans: Consider the following:
Ans: All lookup functions return one row for each row in the source. They differ in how they choose which of several matching rows to return. '
Ans: Discrete, multiline, and hybrid.
Ans: The Merge transform.
Ans: Adapters are additional Java-based programs that can be installed on the job server to provide connectivity to other systems such as Salesforce.com or the JavaMessagingQueue. There is also a software development kit (SDK) to allow customers to create adapters for custom applications.
Ans: These are packages that enhance the ability of Data Cleanse to accurately process various forms of global data by including language-specific reference data and parsing rules.
Ans: The Data Cleanse transform identifies and isolates specific parts of mixed data, and standardizes your data based on information stored in the parsing dictionary, business rules defined in the rule file, and expressions defined in the pattern file.
Ans: Directories provide information on addresses from postal authorities. Dictionary files are used to identify, parse, and standardize data such as names, titles, and firm data.
Ans: Use the USA Regulatory transform if USPS certification and/or additional options such as DPV and Geocode are required. Global Address Cleanse should be utilized when processing multi-country data.
Ans: The Data Cleanse transform can generate name match standards and greetings. It can also assign gender codes and prenames such as Mr. and Mrs.
Ans: Name match standards to illustrate the multiple ways a name can be represented. They are used in the match process to greatly increase match results.
Ans: Using the auto-correct load option in the target table.
Ans: it does not allow duplicated data entering into the target table. It works like Type 1 Insert else Update the rows based on Non-matching and matching data respectively.
Ans: Array fetch size indicates the number of rows retrieved in a single request to a source database. The default value is 1000. Higher numbers reduce requests, lowering network traffic, and possibly improve performance. The maximum value is 5000
Ans: Use the Case transform to simplify branch logic in data flows by consolidating case or decision-making logic into one transform. The transform allows you to split a data set into smaller sets based on logical branches.
Ans: You must define audit points and audit rules when you want to audit a data flow.
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