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NEW QUESTION: 1
A functioning IBM Security Identity Manager (ISIM) test environment has been copied over to a production ISIM environment. Which of the following would validate the application is up and functioning correctly?
A. Login to the WebSphere Administrative Console and validate the status of the ISIM application.
B. Confirm the database instance for ISIM is running.
C. Login to the application and perform a password change and verify the request is scheduled and completes successfully.
D. Confirm the LDAP instance for ISIM is running.
Answer: C

NEW QUESTION: 2
Which of the following risk strategies is represented by the purchase of insurance?
A. Transfer
B. Avoid
C. Accept
D. Mitigate
Answer: A
Explanation:
Explanation
Explanation
"Transfer: Moving the liability for the risk to a third party by purchasing insurance, performance bonds, and so on"

NEW QUESTION: 3
Which two statements are true regarding B-tree index? (Choose two.)
A. The deletion of a row from the table causes a logical deletion in index leaf block and the space becomes available for the new leaf entry.
B. The leaf blocks in the index are doubly linked.
C. The leaf node stores a bitmap for each key value.
D. The rows with NULL value in key columns also have entries in the index.
Answer: A,B
Explanation:
B-Tree Index
Structure of a B-tree Index
At the top of the index is the root, which contains entries that point to the next level in the index. At the next level are branch blocks, which in turn point to blocks at the next level in the index. At the lowest level are the leaf nodes, which contain the index entries that point to rows in the table. The leaf blocks are doubly linked to facilitate the scanning of the index in an ascending as well as descending order of key values.
Format of Index Leaf Entries
An index entry has the following components:
* Entry header: Stores the number of columns and locking information
* Key column length-value pairs: Define the size of a column in the key followed by the value for the column (The number of such pairs is the maximum of the number of columns in the index.)
* ROWID: Row ID of a row that contains the key values
B-Tree Index (continued)
Index Leaf Entry Characteristics
In a B-tree index on a nonpartitioned table:
* Key values are repeated if there are multiple rows that have the same key value unless the index is compressed
* There is no index entry corresponding to a row that has all key columns that are NULL.
Therefore, a WHERE clause specifying NULL always results in a full table scan.
* A restricted ROWID is used to point to the rows of the table because all rows belong to the same segment Effect of DML Operations on an Index The Oracle server maintains all the indexes when DML operations are carried out on a table. Here is an explanation of the effect of a DML command on an index:
* Insert operations result in the insertion of an index entry in the appropriate block.
* Deleting a row results only in a logical deletion of the index entry. The space used by the deleted row is available for new sequential leaf entries.
* Updates to the key columns result in a logical delete and an insert to the index. The PCTFREE setting has no effect on the index except at the time of creation. A new entry may be added to an index block even if it has less space than that specified by PCTFREE.

Types of Indexes
These are several types of index structures that are available depending on your needs.
Two of the most common are:
* B-tree index
- Default index type; in the form of a balanced tree
* Bitmap index:
- Has a bitmap for each distinct value indexed
- Each bit position represents a row that may or may not contain the indexed value.
- Best for low-cardinality columns

NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are designing an Azure SQL Database that will use elastic pools. You plan to store data about customers in a table. Each record uses a value for CustomerID.
You need to recommend a strategy to partition data based on values in CustomerID.
Proposed Solution: Separate data into shards by using horizontal partitioning.
Does the solution meet the goal?
A. No
B. Yes
Answer: B
Explanation:
Horizontal Partitioning - Sharding: Data is partitioned horizontally to distribute rows across a scaled out data tier. With this approach, the schema is identical on all participating databases. This approach is also called "sharding". Sharding can be performed and managed using (1) the elastic database tools libraries or (2) selfsharding.
An elastic query is used to query or compile reports across many shards.
References:
https://docs.microsoft.com/en-us/azure/sql-database/sql-database-elastic-query-overview