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NEW QUESTION: 1
Which modes are provided by the sap.m.SplitAppMode enumeration?
A. StretchCompressMode
B. ShowHideMode
C. ShrinkCozyMode
D. HideShowMode
E. PopoverMode
Answer: A,B,E

NEW QUESTION: 2
Lenoxsoft currently uses a Salesforce workflow to continually look for old and new leads that meet certain criteria under Job title and Industry, and adds them to a Salesforce campaign. The Pardot connector is verifiedand their existing Salesforce records have been reviewed, but they have yet to sync this data to Pardot.
Lenox wishes to replicate this process within Pardot with the following requirements:
* Prospects with a job title of "CEO" and Industry of "Software" are added to the Salesforce campaign.
Based on those requirements, which steps should Lenoxsoft prioritize to replicate their process?
A. Import a .csv file of prospects. Build an Automation rule with criteria :: Job Title :: CEO :: Industry ::
Software, action :: add to Salesforce Campaign
B. Import a .csv file of prospects. Build an Segmentation rule with criteria :: Job Title :: CEO :: Industry ::
Software, action :: add to Salesforce Campaign
C. Create a dynamic list to sync prospects from Salesforce. Build a segmentation rule with the criteria ::
JobTitle :: CEO :: Industry :: Software, action :: add to the Salesforce campaign.
D. Create a dynamic list to sync prospects from Salesforce. Build an Automation rule with criteria :: Job TItle :: CEO :: Industry :: Software, action :: add to the Salesforce campaign.
Answer: A,C

NEW QUESTION: 3
A Developer is working on an application that tracks hundreds of millions of product reviews in an Amazon DynamoDB table. The records include the data elements shown in the table:

Which field, when used as the partition key, would result in the MOST consistent performance using DynamoDB?
A. productID
B. comment
C. starRating
D. reviewID
Answer: A
Explanation:
Refer AWS documentation - DynamoDB Design partition key
The partition key portion of a table's primary key determines the logical partitions in which a table's data is stored. This in turn affects the underlying physical partitions. Provisioned I/O capacity for the table is divided evenly among these physical partitions. Therefore a partition key design that doesn't distribute I/O requests evenly can create "hot" partitions that result in throttling and use your provisioned I/O capacity inefficiently.
The optimal usage of a table's provisioned throughput depends not only on the workload patterns of individual items, but also on the partition-key design. This doesn't mean that you must access all partition key values to achieve an efficient throughput level, or even that the percentage of accessed partition key values must be high. It does mean that the more distinct partition key values that your workload accesses, the more those requests will be spread across the partitioned space. In general, you will use your provisioned throughput more efficiently as the ratio of partition key values accessed to the total number of partition key values increases.

NEW QUESTION: 4
You enter the following command from the service processor; start /HOSTO/console. What does this accomplish?
A. Confirm that the boot disk configuration is as expected.
B. Log in to the domain as user root via the console.
C. Connect to the console from the ACTIVE SP.
D. Log In to the host as user root from another system.
Answer: C
Explanation:
Reference:
https://docs.oracle.com/cd/E19720-01/820-1188-12/core_ilom_appa.html

Certification Tracks

• Databricks Generative AI Engineer
• Databricks Certified Entry Networking Technician