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NEW QUESTION: 1
Name the valid ways to create blocks in an underlying Essbase database. Select all that apply
A. Copy data
B. Create block on Equation
C. Load data
D. Aggregate data
Answer: A,B,C
Explanation:
Ways to create data blocks:
1.Data Load, (B)
2.DataCopy Command, (A)
3.Sparse Dimension Consolidation,
4.Member Formulas:
4a. Assiging a constant value to a sparse member,
4b. Turning Create Block on Equation setting on and assiging a non constant value (C)
4c. Create non missing blocks
B: The moment we load data to essbase, It creates block for those combinations automatically.
C: Controls, within a calculation script, whether or not new blocks are created when a calculation
formula assigns anything other than a constant to a member of a sparse dimension. SET
CREATEBLOCKONEQ overrides the Create Block on Equation setting for the database.
If calculations result in a value for a sparse dimension member for which no block exists, Analytic
Services creates a new block. Sometimes, the new blocks are not desired; for example, when they
contain no other values. In large databases, creation and processing of unneeded blocks can
increase processing time as well as the storage requirement for a database.
For the situation when new blocks would be created as a result of assigning something other than
a constant to a member of a sparse dimension, Analytic Services provides the Create Blocks on
Equation setting. For example, when the Create Blocks on Equation setting is ON and West is
assigned a value where it did not have a value before, new blocks are created. When this setting
is OFF, new blocks are not created.
Incorrect answer:
Copy Data-Use to copy data from one part of your database to another. You select the
source data to copy and specify the target or destination value.
D: Aggregate data. There is no such specific command or utility. It is just a general concept in the Hyperion context.
NEW QUESTION: 2
You need set up the Azure Data Factory JSON definition for Tier 10 data.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Connection String
To use storage account key authentication, you use the ConnectionString property, which xpecify the information needed to connect to Blobl Storage.
Mark this field as a SecureString to store it securely in Data Factory. You can also put account key in Azure Key Vault and pull the accountKey configuration out of the connection string.
Box 2: Azure Blob
Tier 10 reporting data must be stored in Azure Blobs
References:
https://docs.microsoft.com/en-us/azure/data-factory/connector-azure-blob-storage
NEW QUESTION: 3
AAA server has issues with client authentication, how to fix?
Answer:
Explanation:
increase eap identity request timeout
Explanation:
EAP Identity Requests in the background waiting for user to type in username and password.
NEW QUESTION: 4
You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-image classification deep learning model that uses a set of labeled bird photos collected by experts. You plan to use the model to develop a cross-platform mobile app that predicts the species of bird captured by app users.
You must test and deploy the trained model as a web service. The deployed model must meet the following requirements:
* An authenticated connection must not be required for testing.
* The deployed model must perform with low latency during inferencing.
* The REST endpoints must be scalable and should have a capacity to handle large number of requests when multiple end users are using the mobile application.
You need to verify that the web service returns predictions in the expected JSON format when a valid REST request is submitted.
Which compute resources should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: ds-workstation notebook VM
An authenticated connection must not be required for testing.
On a Microsoft Azure virtual machine (VM), including a Data Science Virtual Machine (DSVM), you create local user accounts while provisioning the VM. Users then authenticate to the VM by using these credentials.
Box 2: gpu-compute cluster
Image classification is well suited for GPU compute clusters
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/dsvm-common-identity
https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/training-deep-learning