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NEW QUESTION: 1
Which feature of a base IBM XIV system is a technical advantage over competitive storage arrays?
A. Always-on Compression
B. Hot encryption
C. IBM Spectrum Control Software
D. SSD adaptive read caching
Answer: B
Explanation:
Explanation
Uniquely among IBM products, the XIV Storage System offers hot encryption. When encryption is enabled on the XIV system, all data that resides on it is encrypted within minutes, with no performance impact.
References:
https://www.ibm.com/support/knowledgecenter/en/STJTAG/com.ibm.help.xiv.doc/xiv_elearning_reinventingsto XIV Security with Data-at-Rest Encryption, page 2
NEW QUESTION: 2
A system administrator must make sure that only members of the "Dov" Active Directory group have the Work stream and are able to create Qlik Sense apps.
The administrator creates a security rule that only allows member of the "Dov" group to create apps. but other users can still see the Personal Work area and are able to create apps What is the cause of this issue?
A. The Create app functionality is disabled for "Dev" group
B. Security rules do NOT impact the Work stream
C. The security rules are corrupted
D. The default security rule tor app creation is enabled
Answer: A
NEW QUESTION: 3
You are integrating one of your internal IT applications and Google BigQuery, so users can query BigQuery from the application's interface. You do not want individual users to authenticate to BigQuery and you do not want to give them access to the dataset. You need to securely access BigQuery from your IT application.
What should you do?
A. Integrate with a single sign-on (SSO) platform, and pass each user's credentials along with the query request
B. Create groups for your users and give those groups access to the dataset
C. Create a service account and grant dataset access to that account. Use the service account's private key to access the dataset
D. Create a dummy user and grant dataset access to that user. Store the username and password for that user in a file on the files system, and use those credentials to access the BigQuery dataset
Answer: C
NEW QUESTION: 4
You need to replace the missing data in the AccessibilityToHighway columns.
How should you configure the Clean Missing Data module? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Replace using MICE
Replace using MICE: For each missing value, this option assigns a new value, which is calculated by using a method described in the statistical literature as "Multivariate Imputation using Chained Equations" or
"Multiple Imputation by Chained Equations". With a multiple imputation method, each variable with missing data is modeled conditionally using the other variables in the data before filling in the missing values.
Scenario: The AccessibilityToHighway column in both datasets contains missing values. The missing data must be replaced with new data so that it is modeled conditionally using the other variables in the data before filling in the missing values.
Box 2: Propagate
Cols with all missing values indicate if columns of all missing values should be preserved in the output.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data
